DELHI INSTITUTE OF ADVANCED STUDIES

Transcription

1 DELHI INSTITUTE OF ADVANCED STUDIES Organizes FACULTY DEVELOPMENT PROGRAMME ON DATA MINING AND BIG DATA ANALYTICS: CONCEPTS, TECHNIQUES, TOOLS AND RESEARCH DIRECTIONS (13 TH -14 TH JUNE 2014) DELHI INSTITUTE OF ADVANCED STUDIES PLOT NO. 6, SECTOR - 25, ROHINI, DELHI PHONE: , FAX : E- MAIL : fdpmca@dias.ac.in WEB SITE :

2 Introduction The technological advancement in data storage has resulted in huge data production and transmission in every industry. The overwhelming data being stored in business, education, hospital, and other industries along with satellite data, surveillance data and data stored in World Wide Web is a storehouse of information. Therefore, it is essential, to develop powerful means for analysis and interpretation of such data for the extraction of interesting knowledge that could help in decision-making. Data mining has become an active research field in this area having great industrial impact. To ensure that the advances of data mining research and technology benefit the progress of science and engineering, it is important to examine the challenges on data mining posed by data-intensive science and engineering.understanding the advantages of using different data mining tools and techniques,and knowing what data mining does helps a researcher move faster towards his/her goal. With ever increasing speed of internet connection, the traditional structured data has moved into semi-structured and completely unstructured data of different types, such as text, image, audio, video, click streams, log files, etc. and now comes under the umbrella of Big Data. Moreover, big data is often internally interconnected and thus form complex data/information networks.the models, algorithms and methods for traditional data mining become no longer effective and efficient. Therefore, it has become a great challenge to carry out real-time analysis on, and deep mining and understanding from big data so as to obtain dynamic and incremental knowledge. In the era of big data, it is expected to develop new models, algorithms, methods, and even paradigms for mining, analyzing, and understanding big data. The Faculty development Programs deliberates upon different facets of data mining like applications, operations, techniques and algorithms. The FDP will also focus on the development of computational techniques and enhance awareness of the current analysis tools in the field of traditional data mining and big data analytics.

3 Objectives of the FDP To bring together researchers and practitioners from academia and industry to focus on understanding modern data mining and Big Data concepts To give participants exposure to new data mining and data analytics tools and techniques to help them enhance their teaching skill To train faculties get training in the areas of development of data mining applications with hands on sessions and explore new research directions. Resource Persons DR. JAYANTHI RANJAN Professor - Information Management and Systems Associate Dean - International Relations Institute of Management Technology-IMT, Ghaziabad. Dr. DEVENDRA TAYAL, Associate Professor, Department of Computer Science& Engineering Indira Gandhi, Delhi Technical University for Women MR. MUHAMMAD SHAHID (Business Analyst) StatSoft India MR. BISWAJIT Business Development Manager StatSoft India

4 Registration Details Registration fee per participant is Rs. 2,500/-. Please fill the Registration form, send it along with the fee through a Demand Draft favoring Delhi Institute of Advanced Studies payable at Delhi.If there are two or more than two participants from same Institute then the registration fees will be Rs 2,000 /-per participant. The registration fee includes the course material, tea and lunch during the program. All participants are supposed to make their own travel arrangements including local transportation. Certification All participants shall be awarded with certificates of participation after the completion of the program. Organizing Team: Ms. Tripti Mishra ( ) Ms. Manpreet Kaur ( )

5 COURSE OUTLINE WITH SCHEDULE Day 1: 13 th June :00 AM 09:30 AM Registration 09:30 AM 10:00 AM Welcome Address & Inauguration 10:00 AM 11:30 AM Traditional Data Mining: Concepts and Techniques 11:30 AM 12:00 PM Tea Break 12:00 PM 01:00 PM Fuzzy Logic: A Technique of Data Mining 01:00 PM 01:45 PM Lunch Break 01:45 PM -3:30 PM Case Study using MATLAB 03:30 PM -4:00 PM Tea Break 4:00 PM -5:00 PM Research Directions in Data Mining Day 2: 14 th June :30 AM 11:00 AM Applications & Algorithms of Data Mining in large Sets 11:00 AM 11:30 AM Tea Break 11:30 AM 01:00 PM Data Mining Approaches within STATISTICA 01:00 PM 01:45 PM 01:45 PM -3:00 PM Lunch Break Big Data Analytics and its Applications through Hadoop/ Map Reduce 03:00 PM -3:30 PM Tea Break 03:30 PM -4:30 PM Big Data Analytics and its Applications through Hadoop/ Map Reduce 4:00 PM -5:00 PM Certificate Distribution.

6 ABOUT DIAS DIAS established by Shri Laxman Das Sachdeva Memorial Educational Society, is a dynamic and growth oriented institution imparting professional education in the field of Management and Information Technology. The Institute provides comprehensive learning environment through seminars, interface programs, industrial visits etc. to help students build multidimensional personality and broaden their horizon. OUR VISION We strive to provide a dynamic learning environment for imparting holistic education that inculcates professional excellence, induces competitive spirit and instills leadership quality to carve a niche in the changing global scenario. OUR MISSION DIAS believes in learning to excel and excelling to grow. The aim of the Institute is to develop a unique culture that seeks to scale heights of glory through ethics, passion and perseverance. The guiding philosophy of the Institute is to enhance team spirit, integrity and commitment to serve the cause of humanity.

7 ROUTE MAP

8 Registration Form Two-Day Faculty Development Programme On Data Mining and Big Data Analytics: Concepts, Techniques, Tools and Research Directions June 13 th & 14 th, NAME : 2. DESIGNATION : 3. INSTITUTION: 4. ADDRESS FOR CORRESPONDENCE: 5. PHONE NO: 6. FAX NO: DETAILS OF DEMAND DRAFT: Ms. Tripti Mishra ( ) Ms.ManpreetKaur ( ) Organising Team FDP fdpmca@dias.a.c.in Facebook: Twitter: LinkedIn: