BIG DATA ANALYSIS AND ITS NEED FOR EFFECTIVE E-GOVERNANCE
|
|
- Dominic Mills
- 7 years ago
- Views:
Transcription
1 BIG DATA ANALYSIS AND ITS NEED FOR EFFECTIVE E-GOVERNANCE Nishant Agnihotri 1 Dr. Aman Kumar Sharma 2 Research Scholar, Ph.D. Associate Professor, Computer Science Himachal Pradesh University, Shimla Himachal Pradesh University, Shimla Abstract Big Data [9] refers to data sets that are so large and complex that traditional data processing tools and technologies cannot cope with. The process of examining such data to uncover hidden patterns in them is referred to as Big Data Analytics. Data is growing at a high speed and its analysis with various mining techniques giving rise to the valuable results in term of best perception for the future. This paper focuses on the impact of big data analysis for the E-governance. Getting insight to the results of the predictive analysis can give huge benefits to the E-governance. Apart from this, analysis of the data and its predictive nature results into the better perception of the Plans to be implemented in the future. Key words: Big data, Data Mining, E- governance, Data Analytics, Data Analysis Techniques. 1. INTRODUCTION The amount of data is increasing at a doubling rate every two years[12]. The growing rate of multimedia contents and applications contributed a lot into the growth in the quantity of data. This huge data when crosses the limit of GB s it falls into the category of Big Data. This data is generated by cell phones, GPS systems, Social Networking Websites, Online Payroll Systems and many other applications. Users generate near about 2.5 quintillion [3] data per day and it is huge data in itself from the management point of view. Analyzing large databases like this gives result to the Data Analytics and results into future prediction for some better plans for future. Figure 1 shows the typical scheme of analysis of the big data. The concept of the Smart Cities [3] is already implemented and is an example of huge growth in data. Such cities are providing a good lifestyle and huge data to the customers and to the servers respectively. Platforms are designed in such cities for mobiles and tablets where people can collect and share the data to support the understanding their surroundings. Figure1: Typical Procedure of Big Data Analysis. On the other hand E-governance is the collection of various services of the government provided to the people of a country. In India national e-governance plan[11] (NeGP) has been formulated by the Department of Electronics and Information Technology (DeitY) and Department of Administrative Reforms and Public Grievances (DARPG). Apart from the assurance of the services to the People lot of other issues are also considered as the part of the E-governance and its Planning. The vision of E- governance[11] is to Make all Public Services 219 Nishant Agnihotri, Dr. Aman Kumar Sharma
2 accessible to the common man in his locality, through common service delivery outlets and ensure efficiency, transparency and reliability of such services at affordable costs to realize the basic needs of the common man. E-governance uses the applications of information and communication technologies (ICTs) to support and provide public services. It also supports government administration, relationships among citizens, civil society, the private sector, and the state. After two decades of the development E-governance is examined in terms of five objectives: a policy framework, enhanced public services, high-quality and cost-effective government operations, citizen engagement in democratic processes, and administrative and institutional reform. A typical structure of communication among government and citizens is explained in Figure 2. In this paper the big data analytics and its benefits are discussed along with the Impact on the Effective E-governance. Analytics with the help of mining the data on the latest servers and architectures which are indispensible for Big data takes place. The analytics provides with the report of the mining and the report is analyzed for the actions to be taken in future. More details about the analytics and its impact are discussed in the next sections of this paper. to the consumers with best of services and to bridge the gap between regulations and practices to provide safeguard to the users. a. Scale and Scope of big data analytics: In few of the recent conservative studies it has been estimated that in the year 2008 enterprise servers had processed near about to 9.57 * 1021 bytes of data and this number is doubled every two years. The growth of this record can be imagined on the basis of the organizations which are saving records of all the activities they perform. Wall mart saves near about to 2.5 petabyte of data every hour [8] of its customers purchase history so as to do further analysis for future. b. Great Analysis of data: Data which is collected from the servers of the big companies is used for the mining activities and are therefore reports are analyzed to find the specific behavior, answer specific question and for the future action to be taken. By such analysis sometimes a person s specific behavior is analyzed to reveal the facts about his life. c. Big data Analytics for Drug discovery: In order to analyze diversity of data types in large volumes for the purpose of drug discovery. For the above purpose algorithms that are simple are required, which should be effective, efficient and scalable. In this Talk [9]discussed about how to take advantage of the recent development in big data analytics to improve the drug discovery process. He also described what have recently been done and what remains to be done to develop big data algorithms for drug discovery. He also discussed how big data analytics may contribute to better drug efficiency safety for pharmaceutical companies and regulators. Figure2: Communication between Government and Citizens for Services 2. BIG DATA ANALYTICS Growth in data comes with lot of challenges and opportunities with it. The major issue is to improving the quality of the services provided 220 Nishant Agnihotri, Dr. Aman Kumar Sharma d. Big data analytics in healthcare By digitizing, combining and effectively using Big data, healthcare organizations ranging from single-physician offices and multi-provider groups to large hospital networks and accountable care organizations stand to realize
3 significant benefits [2]. Detecting diseases covered under the potential benefits at the beginning stages of the implementation. As per [13] when patients can be treated with great effectiveness then management of individuals and health of population then any kind of fraud or any kind of other illegal activity can be found very easily and quickly. Lot of other questions can be addressed with big data analytics. With the help of analytics of data certain outcomes or developments could be found or estimated based on the amount of historical data analyzed. Amount of data can be length of stay (LOS, Patients who may or may not get benefit from surgery, what kind of complications could take place to patients. e. Big data analytics in Public Sector Manyika, [6] discussed asserts that the public sector doesn t getting that much information from big data as compared to other sectors as public sector doesn t keep track of the analytics of big data compared to others. Irrespective from the amount of data available government can provide better services with the analytics of the data to the citizens this is the thinking of everyone. Chen, Chiang, and Storey, [5] discussed the following areas where web analysis has started and their causes for future and further references are discussed. These areas are campaign advertising, votermobilization, policy discussion, donations, and many more other areas. Interesting fact is that most of the work in such fields are done by the government itself and remaining contribution is given by the academicians. Big data is in fact playing a major role for the future actions and for providing best of the services. 3. BIG DATA ANALYTICS FOR E- GOVERNANCE E-Governance Plan (Figure 3)[11] in India has the statement and a vision of Make all Public Services accessible to the common man in his locality, through common service delivery outlets and ensure efficiency, transparency and reliability of such services at affordable costs to realize the basic needs of the common man [11]. Figure3: E-governance Plan of India Along with this many other fields are covered under this plan of GOI (Government of India) also use Information Technology for the delivery of quality information in the field of health care in the rural areas along with many other fields also. In India this project was begun with an idea and objective of reducing and eliminating the duplicate entries from the registers and to provide an unambiguous database, generation of the reports automatically, use of the data electronically for the future cause of action. PDAs (Personal Digital assistance) were given to the health workers for providing the quality of services with the help of assessment of the data. Matthias Finger proposed a model (Figure 4) [10] for E-Governance with the emergence of NICT(New Information and Communication Technology) and compared it with the traditional model on following factors E-Governance as Customers Satisfaction E-Governance as Process of Interaction E-Governance as Tool for Government Figure4: E-Governance model with NICT 221 Nishant Agnihotri, Dr. Aman Kumar Sharma
4 In the proposed model of E-Governance based on NICT there is a need of Policy making, regulations and operations. These all operations infact need a big decision making behind them. Big data analytics is the field which results into the better understanding the behavior of the data. Decision making, if done with the help of big data analytics will definitely results into the better decision making and for better results. In (Figure5) an action model has been discussed which gives a view of how to perform an action on the basis of analytic reports got from data analysis. Some benefits which can be given by the analytics are Predictive policing Increasing operational efficiency Better consumer services Identification of new market Figure 5: Process of Planning Action Predictive Policing: Data when analyzed and processed for future cause of action helps in giving a view of future. It helps in finding the areas for future where problems can take palace. By such policing we can make efforts for the improvement of the future. Increasing Operational Efficiency: A clear understanding of the analysis report provides a specific area to wok upon as per the specific requirement. Working on an defined field increase the operational efficiency and gives rise to an accurate result. Better Consumer Services: As operational efficiency is increased, on the same way analysis gives a clear insight to what customer needs. Providing consumer with what he/she wants is itself a quality service. By keeping a track of consumers behavior on different services and later on analyzing it gives rise to better service. Identification of new market: Big data analysis gives rise to new area to work upon. As it has a clear insight of the behavior of the current market or the area which is under analysis. Factors which cause failure are identified easily and in results it gives rise to finding new market to work upon. Apart from these benefits there are other benefits too which are not discussed in brief here like Compliance with regulations, informing strategic directions, identifying new product service. 4. TECHNIQUES FOR BIG DATA ANALYSIS This section of the paper discuss about the various techniques available for analysis of the data. Data mining: Data mining[6] Manyika discussed it as a technique of management of data with the help of some principles of statistics and machine learning. It helps in drilling the data to get a valuable insight of it. Text Analysis: analyzing specific strings of the text or some specific pattern of text for finding information. Text analysis can be made on data generated from web, social networks and many other sources deal with the rich text. Machine learning: Technique allows the machine to learn on the bases on algorithms. This technique helps in performing the analysis by learning various methods of data analysis. Mostly machines perform what we teach them but in case of machine learning machines learn from experiences. Miller [7] discussed an example of U.S. Department of Homeland security which use machine learning to identify patterns in cell phone and traffic [7]. 222 Nishant Agnihotri, Dr. Aman Kumar Sharma
5 There are many other techniques which are used for the analysis of the data but are not discussed here. Some of them are predictive Modeling, cluster analysis, classification and many other techniques helps in data analysis. 5. CHALLENGES This section of paper refers to the challenges related to the analysis of Big data. As analysis of data deals with the data ranging from general to personal data of a person. Analysis of personal data is a typical job as lot of ethics and regulations have to be taken into account during analysis process. Some of the challenges are discussed below Privacy: Big data is combination of lot of data from various customers sale purchase history, clients to a company or it can be a record of a patient of hospital. Analysis of personal information may attract the attention of the people. A reason for this is people are concerned about what is going on with their personal information. There may be chances that some people are uncomfortable with the use of their personal information. They may not want to reveal about their status behavior or may be there health conditions. Picciano[1] discussed an example of a Arizona school where school predicts the behavior and performance in advance. And further when it came on storing the behavior data it is felts that some of them may find direct interaction with the data. So it has to make sure that this data must be preserved well so that it could remain safe and beneficial. Security: Security of the data which will be saved on the servers for the analysis and the reports after analytics of the data is a big issue. We need a good infrastructure for providing security to the data. Otherwise personal data of the peoples can be stolen by any intruder and can be misused. This is a big challenge for big data safety. Data Capture and storage: Data has been captured at a high speed from various sources [4]. It is becoming difficult to handle the data on the traditional systems. So capturing data from social media, cell phones, web sites and later on storing it is a big challenge itself. 6. CONCLUSION AND FUTURE WORK Big data if analyzed with good techniques and technologies can give rise to numerous ideas and areas to upon for getting effective results. In the same way if it is been analyzed for some services provided by the government to the citizens for better implementation for E- governance plan, will give rise to more effective services. Implementing data analysis with fuzzy sets and statistical method can provide more effective ideas. References [1]. A. G. Picciano, The Evolution of Big Data and Learning Analytics in American Higher Education, Journal of Asynchronous Learning Networks, (2012)., pp [2] Burghard C, Big Data and Analytics Key to Accountable Care Success, IDC Health Insights, [3] C.Dobre, F.Xhafa, Intelligent services for big data Science, future generation computer systems, 2013, Elsevier, pp [4] C.L. Philip Chen, Chun-Yang Zhang, Dataintensive applications, challenges, techniques and technologies: A survey on big data, informatics Sciences, published in Elsevier 2014, pp [5] H. Chen, R. H. L. Chiang, V. C. Storey, Business Intelligence and Analytics: From Big Data to Big Impact MIS Quarterly, (2012), pp [6] J.Manyika, M.Chui, B.Brown, J.Bughin, R. Dobbs, C. Roxburgh, A. H. Byers, Big data: 223 Nishant Agnihotri, Dr. Aman Kumar Sharma
6 The next frontier for innovation, competition, and productivity, 2011, pp [7] K. Miller, Big Data Analytics in Biomedical Research, Biomedical Computation Review, 2011/2012, pp [8] Karthik Kambatta, Gioygos Kollias, vipin Kumar, Ananth Grama, Trends in big data Analysis, j. Parallel distributed computer,2014, pp [9] Keith C.C. Chan, Big Data Analytics for Drug Discovery, IEEE International Conference on Bioinformatics and Biomedicine, [10] Matthias Finger, Gaelle Pecoud, From e- Government to e-governance? Towards a Model of e-governance,3rd European Conference on e-government Switzerland. [11] NeGP Website. "about NeGP". NeGP Website. Retrieved 17 July [12] Richard cumbley, Peter church, Is Big data Creepy?, Computer laws & Security Reviews, 2013, Elsevier ltd. pp [13] W. Raghupathi, V. Raghupathi, Big data analytics in healthcare: promise and Potential, Raghupathi and Raghupathi Health Information Science and Systems Nishant Agnihotri, Dr. Aman Kumar Sharma
Indian Journal of Science The International Journal for Science ISSN 2319 7730 EISSN 2319 7749 2016 Discovery Publication. All Rights Reserved
Indian Journal of Science The International Journal for Science ISSN 2319 7730 EISSN 2319 7749 2016 Discovery Publication. All Rights Reserved Perspective Big Data Framework for Healthcare using Hadoop
More informationMEDICAL DATA MINING. Timothy Hays, PhD. Health IT Strategy Executive Dynamics Research Corporation (DRC) December 13, 2012
MEDICAL DATA MINING Timothy Hays, PhD Health IT Strategy Executive Dynamics Research Corporation (DRC) December 13, 2012 2 Healthcare in America Is a VERY Large Domain with Enormous Opportunities for Data
More informationEVALUATING PAAS SCALABILITY AND IMPROVING PERFORMANCE USING SCALABILITY IMPROVEMENT SYSTEMS
EVALUATING PAAS SCALABILITY AND IMPROVING PERFORMANCE USING SCALABILITY IMPROVEMENT SYSTEMS Nishant Agnihotri 1, Aman Kumar Sharma 2 1 Assistant Professor, Department of Computer Science & Application,
More informationInternational Journal of Advanced Engineering Research and Applications (IJAERA) ISSN: 2454-2377 Vol. 1, Issue 6, October 2015. Big Data and Hadoop
ISSN: 2454-2377, October 2015 Big Data and Hadoop Simmi Bagga 1 Satinder Kaur 2 1 Assistant Professor, Sant Hira Dass Kanya MahaVidyalaya, Kala Sanghian, Distt Kpt. INDIA E-mail: simmibagga12@gmail.com
More informationTo Implement Cloud Computing by using Agile Methodology in Indian E-Governance
To Implement Cloud Computing by using Agile Methodology in Indian E-Governance P.V.S.S.Gangadhar 1, Dr.A.K.Shrivastava 2, Ragini Shukla 3 1 MPhil (CS) Research Scholar, Department of Computer Science,
More informationBIG DATA: CHALLENGES AND OPPORTUNITIES IN LOGISTICS SYSTEMS
BIG DATA: CHALLENGES AND OPPORTUNITIES IN LOGISTICS SYSTEMS Branka Mikavica a*, Aleksandra Kostić-Ljubisavljević a*, Vesna Radonjić Đogatović a a University of Belgrade, Faculty of Transport and Traffic
More informationTECHNOLOGY ANALYSIS FOR INTERNET OF THINGS USING BIG DATA LEARNING
TECHNOLOGY ANALYSIS FOR INTERNET OF THINGS USING BIG DATA LEARNING Sunghae Jun 1 1 Professor, Department of Statistics, Cheongju University, Chungbuk, Korea Abstract The internet of things (IoT) is an
More informationMajed Al-Ghandour, PhD, PE, CPM Division of Planning and Programming NCDOT 2016 NCAMPO Conference- Greensboro, NC May 12, 2016
Big Data! Majed Al-Ghandour, PhD, PE, CPM Division of Planning and Programming NCDOT 2016 NCAMPO Conference- Greensboro, NC May 12, 2016 Big Data: Data Analytical Tools for Decision Support 2 Outline Introduce
More informationThis is the space reserved for copyright notices. ASIST 2011, October 9-13, 2011, New Orleans, LA, USA. Copyright notice continues right here.
Big Data Analytics Dylan Maltby University of Texas at Austin School of Information 1616 Guadeloupe, Austin, TX 78701 512-471-3821 dylan.maltby@gmail.com INTRODUCTION In recent years big data has become
More informationA Survey of Customer Relationship Management
A Survey of Customer Relationship Management RumaPanda 1, Dr. A. N. Nandakumar 2 1 Assistant Professor, Dept. of C.S.E. Vemana I T, VTU,Bangalore, Karnataka, India 2 Professor & Principal, R. L. Jalappa
More informationUncovering Value in Healthcare Data with Cognitive Analytics. Christine Livingston, Perficient Ken Dugan, IBM
Uncovering Value in Healthcare Data with Cognitive Analytics Christine Livingston, Perficient Ken Dugan, IBM Conflict of Interest Christine Livingston Ken Dugan Has no real or apparent conflicts of interest
More informationMobile Cloud Computing In Business
Mobile Cloud Computing In Business Nilam S. Desai Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, Charotar University of Science and Technology, Changa, Gujarat, India ABSTRACT Cloud
More informationA FRAMEWORK FOR SECURE ACCESS OF HEALTH DATA WITH AUDIT ABILITY IN CLOUD
A FRAMEWORK FOR SECURE ACCESS OF HEALTH DATA WITH AUDIT ABILITY IN CLOUD Ch. Kousalya Devi 1, B Dada Khalande 2, G.Rama Subba Reddy 3 1 M.tech Scholar (CSE), 2 Asst.Professor, Dept. of CSE, Vignana Bharathi
More informationHealthcare, transportation,
Smart IT Argus456 Dreamstime.com From Data to Decisions: A Value Chain for Big Data H. Gilbert Miller and Peter Mork, Noblis Healthcare, transportation, finance, energy and resource conservation, environmental
More informationCHAPTER SIX DATA. Business Intelligence. 2011 The McGraw-Hill Companies, All Rights Reserved
CHAPTER SIX DATA Business Intelligence 2011 The McGraw-Hill Companies, All Rights Reserved 2 CHAPTER OVERVIEW SECTION 6.1 Data, Information, Databases The Business Benefits of High-Quality Information
More informationDanny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank
Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement»
More informationHealthcare Measurement Analysis Using Data mining Techniques
www.ijecs.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 03 Issue 07 July, 2014 Page No. 7058-7064 Healthcare Measurement Analysis Using Data mining Techniques 1 Dr.A.Shaik
More informationInternational Journal of Computer Science Trends and Technology (IJCST) Volume 2 Issue 3, May-Jun 2014
RESEARCH ARTICLE OPEN ACCESS A Survey of Data Mining: Concepts with Applications and its Future Scope Dr. Zubair Khan 1, Ashish Kumar 2, Sunny Kumar 3 M.Tech Research Scholar 2. Department of Computer
More informationBig Data Analytics for Smart Cities IAMOT 2015, June 08-11 Cape Town- South Africa Siemens AG 2015. All rights reserved. siemens.
Dr. Osman Ahmed, Ph.d. P.E. Senior Director and Head of Innovation Building Technologies. Osman.ahmed@siemens.com Big Data Analytics for Smart Cities IAMOT 2015, June 08-11 Cape Town- South Africa Two
More informationFederico Rajola. Customer Relationship. Management in the. Financial Industry. Organizational Processes and. Technology Innovation.
Federico Rajola Customer Relationship Management in the Financial Industry Organizational Processes and Technology Innovation Second edition ^ Springer Contents 1 Introduction 1 1.1 Identification and
More informationData Mining Solutions for the Business Environment
Database Systems Journal vol. IV, no. 4/2013 21 Data Mining Solutions for the Business Environment Ruxandra PETRE University of Economic Studies, Bucharest, Romania ruxandra_stefania.petre@yahoo.com Over
More informationAssociate Professor, Department of CSE, Shri Vishnu Engineering College for Women, Andhra Pradesh, India 2
Volume 6, Issue 3, March 2016 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Special Issue
More informationISSN: 2348 9510. A Review: Image Retrieval Using Web Multimedia Mining
A Review: Image Retrieval Using Web Multimedia Satish Bansal*, K K Yadav** *, **Assistant Professor Prestige Institute Of Management, Gwalior (MP), India Abstract Multimedia object include audio, video,
More informationAggregation Methodology on Map Reduce for Big Data Applications by using Traffic-Aware Partition Algorithm
Aggregation Methodology on Map Reduce for Big Data Applications by using Traffic-Aware Partition Algorithm R. Dhanalakshmi 1, S.Mohamed Jakkariya 2, S. Mangaiarkarasi 3 PG Scholar, Dept. of CSE, Shanmugnathan
More informationWe are Big Data A Sonian Whitepaper
EXECUTIVE SUMMARY Big Data is not an uncommon term in the technology industry anymore. It s of big interest to many leading IT providers and archiving companies. But what is Big Data? While many have formed
More informationWELCOME TO THE WORLD OF BIG DATA. NEW WORLD PROBLEMS, NEW WORLD SOLUTIONS
WELCOME TO THE WORLD OF BIG DATA. NEW WORLD PROBLEMS, NEW WORLD SOLUTIONS TECHNOLOGY by Zachary Zeus Data in our world has been exploding. According to IBM research, 90% of today s data was created in
More informationGovernment of India Ministry of Communications & Information Technology Department of Electronics & Information Technology (DeitY)
Government of India Ministry of Communications & Information Technology Department of Electronics & Information Technology (DeitY) Title of Policy: Policy on Open APIs for Government of India Preamble:
More informationA SECURE FRAMEWORK WITH KEY- AGGREGATION FOR DATA SHARING IN CLOUD
A SECURE FRAMEWORK WITH KEY- AGGREGATION FOR DATA SHARING IN CLOUD Yerragudi Vasistakumar Reddy 1, M.Purushotham Reddy 2, G.Rama Subba Reddy 3 1 M.tech Scholar (CSE), 2 Asst.Professor, Dept. of CSE, Vignana
More informationPrediction of Heart Disease Using Naïve Bayes Algorithm
Prediction of Heart Disease Using Naïve Bayes Algorithm R.Karthiyayini 1, S.Chithaara 2 Assistant Professor, Department of computer Applications, Anna University, BIT campus, Tiruchirapalli, Tamilnadu,
More informationBig Data Introduction, Importance and Current Perspective of Challenges
International Journal of Advances in Engineering Science and Technology 221 Available online at www.ijaestonline.com ISSN: 2319-1120 Big Data Introduction, Importance and Current Perspective of Challenges
More informationAn Analysis of Data Security Threats and Solutions in Cloud Computing Environment
An Analysis of Data Security Threats and Solutions in Cloud Computing Environment Rajbir Singh 1, Vivek Sharma 2 1, 2 Assistant Professor, Rayat Institute of Engineering and Information Technology Ropar,
More informatione Governance ULB Level Reform
ULB Level Reform 1. The Reform e-governance is a form of public administration making use of information and communication technologies (ICT) to enhance the access and delivery of government services to
More informationMarcus Conklin Associate Director Lied Institute @ UNLV
Marcus Conklin Associate Director Lied Institute @ UNLV Technology changes exponentially, but social, economic and legal systems change incrementally. -Larry Downes The Cloud Mobility (Apps) Big Data
More informationBig Data Trends A Basis for Personalized Medicine
Big Data Trends A Basis for Personalized Medicine Dr. Hellmuth Broda, Principal Technology Architect emedikation: Verordnung, Support Prozesse & Logistik 5. Juni, 2013, Inselspital Bern Over 150,000 Employees
More informationExtreme Computing. Big Data. Stratis Viglas. School of Informatics University of Edinburgh sviglas@inf.ed.ac.uk. Stratis Viglas Extreme Computing 1
Extreme Computing Big Data Stratis Viglas School of Informatics University of Edinburgh sviglas@inf.ed.ac.uk Stratis Viglas Extreme Computing 1 Petabyte Age Big Data Challenges Stratis Viglas Extreme Computing
More informationIEEE International Conference on Computing, Analytics and Security Trends CAST-2016 (19 21 December, 2016) Call for Paper
IEEE International Conference on Computing, Analytics and Security Trends CAST-2016 (19 21 December, 2016) Call for Paper CAST-2015 provides an opportunity for researchers, academicians, scientists and
More informationCourse Requirements for the Ph.D., M.S. and Certificate Programs
Health Informatics Course Requirements for the Ph.D., M.S. and Certificate Programs Health Informatics Core (6 s.h.) All students must take the following two courses. 173:120 Principles of Public Health
More informationCloud Based Distributed Databases: The Future Ahead
Cloud Based Distributed Databases: The Future Ahead Arpita Mathur Mridul Mathur Pallavi Upadhyay Abstract Fault tolerant systems are necessary to be there for distributed databases for data centers or
More informationInternational Journal of Engineering Research ISSN: 2348-4039 & Management Technology November-2015 Volume 2, Issue-6
International Journal of Engineering Research ISSN: 2348-4039 & Management Technology Email: editor@ijermt.org November-2015 Volume 2, Issue-6 www.ijermt.org Modeling Big Data Characteristics for Discovering
More informationDEPARTMENT OF PUBLIC ADMINISTRATION
DEPARTMENT OF PUBLIC ADMINISTRATION Profile: 2009-10 To 2014-15 Maharshi Dayanand University, Rohtak The department of Public Administration came into existence in 1991 as an independent department of
More informationData Mining Governance for Service Oriented Architecture
Data Mining Governance for Service Oriented Architecture Ali Beklen Software Group IBM Turkey Istanbul, TURKEY alibek@tr.ibm.com Turgay Tugay Bilgin Dept. of Computer Engineering Maltepe University Istanbul,
More informationApplying Data Mining Techniques to Improve Information Security in the Cloud: A Single Cache System Approach.
TITLE PAGE Applying Data Mining Techniques to Improve Information Security in the Cloud: A Single Cache System Approach. Amany M. Al-Shawi* King Abdulaziz City for Science and Technology, P.O. Box 6086
More informationDriving Healthcare Efficiency through Transformational Sourcing. www.avasant.com
Driving Healthcare Efficiency through Transformational Sourcing www.avasant.com Reshaping of the U.S. Health eco-system The signing of the Patient Protection and Affordable Care Act (ACA) into law in 2010
More informationETPL Extract, Transform, Predict and Load
ETPL Extract, Transform, Predict and Load An Oracle White Paper March 2006 ETPL Extract, Transform, Predict and Load. Executive summary... 2 Why Extract, transform, predict and load?... 4 Basic requirements
More informationInternational Workshop on Big Data Analytics for Advanced Databases (BIGDATA, 2016)
International Workshop on Big Data Analytics for Advanced Databases (BIGDATA, 2016) Call for Papers AIM and SCOPE There is an exponential growth in digital data with unprecedented new platforms derived
More informationData Center Fabrics and Their Role in Managing the Big Data Trend
Data Center Fabrics and Their Role in Managing the Big Data Trend The emergence of Big Data as a critical technology initiative is one of the driving factors forcing IT decision-makers to explore new alternatives
More informationMarketing Science Institute 2014-2016 Research Priorities
Marketing Science Institute 2014-2016 Research Priorities Source: www.msi.org Every two years, the Marketing Science Institute asks member companies to help select the priorities that will drive research
More informationThe big data revolution
The big data revolution Friso van Vollenhoven (Xebia) Enterprise NoSQL Recently, there has been a lot of buzz about the NoSQL movement, a collection of related technologies mostly concerned with storing
More informationmedia kit 2014 Advertise Global Mobile Ad Network
media kit 2014 Advertise Global Mobile Ad Network WHY MOBILE ADVERTISING Proliferation of smartphone devices and tablets is shifting the way that customers use Internet, making advertising a key part of
More informationDATA SCIENCE ADVISING NOTES David Wild - updated May 2015
DATA SCIENCE ADVISING NOTES David Wild - updated May 2015 GENERAL NOTES Lots of information can be found on the website at http://datascience.soic.indiana.edu. Dr David Wild, Data Science Graduate Program
More informationFoundations of Business Intelligence: Databases and Information Management
Foundations of Business Intelligence: Databases and Information Management Problem: HP s numerous systems unable to deliver the information needed for a complete picture of business operations, lack of
More informationEDITORIAL MINING FOR GOLD : CAPITALISING ON DATA TO TRANSFORM DRUG DEVELOPMENT. A Changing Industry. What Is Big Data?
EDITORIAL : VOL 14 ISSUE 1 BSLR 3 Much has been written about the potential of data mining big data to transform drug development, reduce uncertainty, facilitate more targeted drug discovery and make more
More informationAn Introduction to Health Informatics for a Global Information Based Society
An Introduction to Health Informatics for a Global Information Based Society A Course proposal for 2010 Healthcare Industry Skills Innovation Award Sponsored by the IBM Academic Initiative submitted by
More informationISSN: 2321-7782 (Online) Volume 3, Issue 7, July 2015 International Journal of Advance Research in Computer Science and Management Studies
ISSN: 2321-7782 (Online) Volume 3, Issue 7, July 2015 International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online
More informationA UPS Framework for Providing Privacy Protection in Personalized Web Search
A UPS Framework for Providing Privacy Protection in Personalized Web Search V. Sai kumar 1, P.N.V.S. Pavan Kumar 2 PG Scholar, Dept. of CSE, G Pulla Reddy Engineering College, Kurnool, Andhra Pradesh,
More informationCANCER SOCIETY OF FINLAND STRATEGY 2020
CANCER SOCIETY OF FINLAND STRATEGY 2020 Introduction The Cancer Society of Finland comprises 12 regional cancer societies and five national patient organisations. It is Finland s largest and most influential
More informationWhen to Leverage Video as a Platform A Guide to Optimizing the Retail Environment
When to Leverage Video as a Platform A Guide to Optimizing the Retail Environment Contents S1 An Industry in Transition Over the past few years, retail has seen seismic changes in how the customer shops.
More informationFigure 1 Cloud Computing. 1.What is Cloud: Clouds are of specific commercial interest not just on the acquiring tendency to outsource IT
An Overview Of Future Impact Of Cloud Computing Shiva Chaudhry COMPUTER SCIENCE DEPARTMENT IFTM UNIVERSITY MORADABAD Abstraction: The concept of cloud computing has broadcast quickly by the information
More informationFROM SERVICE TO SATISFACTION: WAYS MANUFACTURERS CAN ELEVATE THE CUSTOMER EXPERIENCE
5 FROM SERVICE TO SATISFACTION: WAYS MANUFACTURERS CAN ELEVATE THE CUSTOMER EXPERIENCE To many, the manufacturing industry represents an era when business was simpler when people built things and deals
More informationWhite Paper Big Data Without Big Headaches
Vormetric, Inc. 2545 N. 1st Street, San Jose, CA 95131 United States: 888.267.3732 United Kingdom: +44.118.949.7711 Singapore: +65.6829.2266 info@vormetric.com www.vormetric.com THE NEW WORLD OF DATA IS
More informationBusiness @ the Speed of Thought
Bill Gates About the author Bill Gates wrote his first software program when he was thirteen years old. Two points about the experience seem clear. First, the ability to control something huge at a time
More informationPentaho High-Performance Big Data Reference Configurations using Cisco Unified Computing System
Pentaho High-Performance Big Data Reference Configurations using Cisco Unified Computing System By Jake Cornelius Senior Vice President of Products Pentaho June 1, 2012 Pentaho Delivers High-Performance
More informationBIG DATA TECHNOLOGY. Hadoop Ecosystem
BIG DATA TECHNOLOGY Hadoop Ecosystem Agenda Background What is Big Data Solution Objective Introduction to Hadoop Hadoop Ecosystem Hybrid EDW Model Predictive Analysis using Hadoop Conclusion What is Big
More informationIntroduction to Data Mining
Introduction to Data Mining Jay Urbain Credits: Nazli Goharian & David Grossman @ IIT Outline Introduction Data Pre-processing Data Mining Algorithms Naïve Bayes Decision Tree Neural Network Association
More informationBIG DATA & DATA SCIENCE
BIG DATA & DATA SCIENCE ACADEMY PROGRAMS IN-COMPANY TRAINING PORTFOLIO 2 TRAINING PORTFOLIO 2016 Synergic Academy Solutions BIG DATA FOR LEADING BUSINESS Big data promises a significant shift in the way
More informationSURENDRA SARNIKAR. 820 N Washington Ave, EH7 Email: sarnikar@acm.org Madison, SD 57042 Phone: 605-256-7341
SURENDRA SARNIKAR 820 N Washington Ave, EH7 Email: sarnikar@acm.org Madison, SD 57042 Phone: 605-256-7341 EDUCATION PhD in Management Information Systems May 2007 University of Arizona, Tucson, AZ MS in
More information1. Understanding Big Data
Big Data and its Real Impact on Your Security & Privacy Framework: A Pragmatic Overview Erik Luysterborg Partner, Deloitte EMEA Data Protection & Privacy leader Prague, SCCE, March 22 nd 2016 1. 2016 Deloitte
More informationHadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012. Viswa Sharma Solutions Architect Tata Consultancy Services
Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012 Viswa Sharma Solutions Architect Tata Consultancy Services 1 Agenda What is Hadoop Why Hadoop? The Net Generation is here Sizing the
More informationTransforming the Telecoms Business using Big Data and Analytics
Transforming the Telecoms Business using Big Data and Analytics Event: ICT Forum for HR Professionals Venue: Meikles Hotel, Harare, Zimbabwe Date: 19 th 21 st August 2015 AFRALTI 1 Objectives Describe
More informationFeasibility Study of Searchable Image Encryption System of Streaming Service based on Cloud Computing Environment
Feasibility Study of Searchable Image Encryption System of Streaming Service based on Cloud Computing Environment JongGeun Jeong, ByungRae Cha, and Jongwon Kim Abstract In this paper, we sketch the idea
More informationMaster of Science in Health Information Technology Degree Curriculum
Master of Science in Health Information Technology Degree Curriculum Core courses: 8 courses Total Credit from Core Courses = 24 Core Courses Course Name HRS Pre-Req Choose MIS 525 or CIS 564: 1 MIS 525
More informationChallenges and Role of Standards in Building Interoperable e-governance Solutions
24 Compendium of e-governance Initiatives CHAPTER in India 3 Challenges and Role of Standards in Building Interoperable e-governance Solutions Renu Budhiraja Director e-governance Group, Department of
More informationLegislative Council Panel on Information Technology and Broadcasting. Information Security
LC Paper No. CB(1)2407/10-11(05) For Information on 13 June 2011 Legislative Council Panel on Information Technology and Broadcasting Information Security Purpose This paper informs Members about the progress
More informationFeatures Document of
Document of Table of Contents 1 Welcome to rujulcrm-legal... 2 1.1 How CRM is Useful... 2 1.2 The Impact of Technology on CRM... 2 1.3 The Benefit of CRM... 2 1.4 Why SugarCRM... 3 1.5 Overview of rujulcrm...
More informationAlexander Nikov. 5. Database Systems and Managing Data Resources. Learning Objectives. RR Donnelley Tries to Master Its Data
INFO 1500 Introduction to IT Fundamentals 5. Database Systems and Managing Data Resources Learning Objectives 1. Describe how the problems of managing data resources in a traditional file environment are
More informationThe modern marketer s guide to global content creation
The modern marketer s guide to global content creation The Modern Marketer s Guide to Global Content Creation As a modern marketer, you re already taking advantage of customer relationship management (CRM)
More informationPOLICY GUIDELINE ON INFORMATION SHARING
POLICY GUIDELINE ON INFORMATION SHARING September 2006 Royal Government of Bhutan Ministry of Information & Communications TABLE OF CONTENTS 1.0 BACKGROUND... 2 2.0 NEED FOR INFORMATION SHARING... 3 3.0
More informationFrom Data to Insight: Big Data and Analytics for Smart Manufacturing Systems
From Data to Insight: Big Data and Analytics for Smart Manufacturing Systems Dr. Sudarsan Rachuri Program Manager Smart Manufacturing Systems Design and Analysis Systems Integration Division Engineering
More informationAn Architecture Model of Sensor Information System Based on Cloud Computing
An Architecture Model of Sensor Information System Based on Cloud Computing Pengfei You, Yuxing Peng National Key Laboratory for Parallel and Distributed Processing, School of Computer Science, National
More informationBig Data Mining: Challenges and Opportunities to Forecast Future Scenario
Big Data Mining: Challenges and Opportunities to Forecast Future Scenario Poonam G. Sawant, Dr. B.L.Desai Assist. Professor, Dept. of MCA, SIMCA, Savitribai Phule Pune University, Pune, Maharashtra, India
More informationTop 5 Reasons to Outsource MORE!
Top 5 Reasons to Outsource MORE! This report is available for download on Teleperformance s website. For more information about articles and white papers, go to: www.teleperformance.com Why Companies Are
More informationAbout the team of SUBASH SEO
SUBASH Search Engine Optimization is a part or branch of search engine marketing or web marketing. Search Engine Optimization is a technique to improve traffic of a website. SEO is a way to optimizing
More information5 MEDIA MONITORING STRATEGIES FOR INTERNAL COMMUNICATIONS. AND THE healthcare industry
5 MEDIA MONITORING STRATEGIES FOR INTERNAL COMMUNICATIONS AND THE healthcare industry Regardless of size, businesses need to implement external communications strategies to acquire customers and build
More informationStorage and Retrieval of Data for Smart City using Hadoop
Storage and Retrieval of Data for Smart City using Hadoop Ravi Gehlot Department of Computer Science Poornima Institute of Engineering and Technology Jaipur, India Abstract Smart cities are equipped with
More informationWhy Your Business Needs a Website: Ten Reasons. Contact Us: 727.542.3592 Info@intensiveonlinemarketers.com
Why Your Business Needs a Website: Ten Reasons Contact Us: 727.542.3592 Info@intensiveonlinemarketers.com Reason 1: Does Your Competition Have a Website? As the owner of a small business, you understand
More informationBig Data Strategies Creating Customer Value In Utilities
Big Data Strategies Creating Customer Value In Utilities National Conference ICT For Energy And Utilities Sofia, October 2013 Valery Peykov Country CIO Bulgaria Veolia Environnement 17.10.2013 г. One Core
More informationFostering Incident Response and Digital Forensics Research
Fostering Incident Response and Digital Forensics Research Bruce J. Nikkel bruce.nikkel@ubs.com September 8, 2014 Abstract This article highlights different incident response topics with a focus on digital
More informationCloud Computing Services and its Application
Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 4, Number 1 (2014), pp. 107-112 Research India Publications http://www.ripublication.com/aeee.htm Cloud Computing Services and its
More informationW H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract
W H I T E P A P E R Deriving Intelligence from Large Data Using Hadoop and Applying Analytics Abstract This white paper is focused on discussing the challenges facing large scale data processing and the
More informationCONNECTING DATA WITH BUSINESS
CONNECTING DATA WITH BUSINESS Big Data and Data Science consulting Business Value through Data Knowledge Synergic Partners is a specialized Big Data, Data Science and Data Engineering consultancy firm
More informationAvoiding readmissions
Avoiding readmissions The power of predictive analytics to cut the cost of hospital stays For years, hospitals and health plans have been looking for ways to identify and remove inefficiencies in care
More informationExample application (1) Telecommunication. Lecture 1: Data Mining Overview and Process. Example application (2) Health
Lecture 1: Data Mining Overview and Process What is data mining? Example applications Definitions Multi disciplinary Techniques Major challenges The data mining process History of data mining Data mining
More informationRunning Head: WORKFLOW ANALYSIS 1. Workflow Analysis of a Primary Care Clinic Before and After Implementation of an Electronic Health Record
Running Head: WORKFLOW ANALYSIS 1 Sample Answer to Workflow Analysis Assignment Workflow Analysis of a Primary Care Clinic Before and After Implementation of an Electronic Health Record There are numerous
More informationPlan of the course Medical Informatics
University of Zagreb School of Medicine Plan of the course Medical Informatics Academic year 2013/2014 Course coordinator: Professor Jadranka, PhD 1 I. COURSE AIMS: a. Students should familiarize with
More informationThe Data Engineer. Mike Tamir Chief Science Officer Galvanize. Steven Miller Global Leader Academic Programs IBM Analytics
The Data Engineer Mike Tamir Chief Science Officer Galvanize Steven Miller Global Leader Academic Programs IBM Analytics Alessandro Gagliardi Lead Faculty Galvanize Businesses are quickly realizing that
More informationBig Data in Healthcare Christian Chai
Topic Overview and Introduction Big Data in Healthcare Christian Chai As healthcare transitions from a fee-for-service payment structure to a valuebased model, big data will play an increasingly large
More informationEnterprise Resource Planning Analysis of Business Intelligence & Emergence of Mining Objects
Enterprise Resource Planning Analysis of Business Intelligence & Emergence of Mining Objects Abstract: Build a model to investigate system and discovering relations that connect variables in a database
More informationNICE Systems and Avaya provide businesses with Insight from Interactions
IP Telephony Contact Centers Mobility Services OVERVIEW NICE Systems and Avaya provide businesses with Insight from Interactions Supports Avaya Communication Manager Application Enablement Services (AES)
More informationPREDICTIVE ANALYTICS FOR THE HEALTHCARE INDUSTRY
PREDICTIVE ANALYTICS FOR THE HEALTHCARE INDUSTRY By Andrew Pearson Qualex Asia Today, healthcare companies are drowning in data. According to IBM, most healthcare organizations have terabytes and terabytes
More information