Veterinary epidemiology in the era of big data: Value, Volume and Velocity of information extraction
|
|
- Posy Francis
- 8 years ago
- Views:
Transcription
1 VETERINARY EPIDEMIOLOGY IN THE ERA OF BIG DATA: VALUE, VOLUME AND VELOCITY OF INFORMATION EXTRACTION Fernanda Dórea Swedish Zoonoses Centre National Veterinary Institute 1 Data Mining and Knowledge Discovery Volume Variety Velocity Crawford Revie Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
2 Data Mining and Knowledge Discovery The Data Flood part of everyday life Not novel in principle, just different in terms of scale / scope Crawford Revie Core Methods The fundamental tools of AI shifted from logic to probability in the late 1980s, and fundamental progress in the theory of uncertain reasoning underlies many of the recent practical advances. (Peter Norvig, 2011) Crawford Revie Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
3 Big data is not anymore a curse!... Crawford Revie 6 Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
4 Volume Variety Velocity 7 We want MORE results. Volume Who? Where? When? Why? How? Related to whom? 8 Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
5 We want them FASTER Velocity A PhD student at SVA tries to solve the following problem: Simulating disease spread using real movement data of all cattle population in Sweden over 8 years was taking a whole day! 9 And we want them for ALL Value 10 Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
6 11 Syndromic surveillance 12 Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
7 Velocity Volume 13 Velocity CLINICAL data Wildlife observ. Laboratory submissions Movement data Volume Variety Monitor SPATIAL distribution Monitoring daily counts Explore CONTENTS Value Information ALERTS Herd managem. 14 Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
8 SyS input: Variety Value Data Expert Input Classified Data Machine Learning Classification rules Expert Input Updates in the future? Knowledge-rich system, but not a KNOWLEDGE-BASE (base of Artificial Intelligence systems) 15 SyS input: Variety Value Machine Learning Expert Input Value to others? Classification rules 16 Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
9 Data is not the bottleneck anymore.....but ACCESS to it may still be... Big data (still) has strong owners... AND lack of comparability Data ownership means that epidemiology respects borders, but diseases do not 17 SyS input: Variety Value Value to others? Taxonomies: Machine Learning Classification rules Human medicine: ICD-10 Expert Input Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
10 19 20 Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
11 SyS input: Variety Value Value to others? Ontologies: Machine Learning Classification rules Human medicine: ICD-10 Expert Input Standardized Syndromic Classification of Animal Health Data 21 Velocity, Volume and Value in the methods {syndromic} 22 Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
12 Value in the outputs 23 Value in the outputs {syndromic} Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
13 Velocity CLINICAL data Wildlife observ. Laboratory submissions Volume Variety Monitor SPATIAL distribution Monitoring daily counts Value Information ALERTS Movement data Herd managem. Explore CONTENTS {syndromic} 25 Let the data speak for themselves Data-driven Research 26 Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
14 Acknowledgments 27 Data is not information Information is not knowledge Knowledge is not understanding Understanding is not wisdom Clifford Stoll 28 Fernanda C. Dórea National Veterinary Institute, Sweden VPHI Annual Conference:
Information Visualization WS 2013/14 11 Visual Analytics
1 11.1 Definitions and Motivation Lot of research and papers in this emerging field: Visual Analytics: Scope and Challenges of Keim et al. Illuminating the path of Thomas and Cook 2 11.1 Definitions and
More informationA simple decision tool to help optimize the control strategy 2 weeks into a Danish FMD epidemic
A simple decision tool to help optimize the control strategy 2 weeks into a Danish FMD epidemic Preben Willeberg DVM, PhD, Dr.med.vet., Dr.med.vet.h.c. Senior Veterinary Global Health Specialist Center
More informationA Medical Decision Support System (DSS) for Ubiquitous Healthcare Diagnosis System
, pp. 237-244 http://dx.doi.org/10.14257/ijseia.2014.8.10.22 A Medical Decision Support System (DSS) for Ubiquitous Healthcare Diagnosis System Regin Joy Conejar 1 and Haeng-Kon Kim 1* 1 School of Information
More informationConquering the Astronomical Data Flood through Machine
Conquering the Astronomical Data Flood through Machine Learning and Citizen Science Kirk Borne George Mason University School of Physics, Astronomy, & Computational Sciences http://spacs.gmu.edu/ The Problem:
More informationKnows things that are found in nature differ from things that are human-made in how they are produced and used. [D; ITEA]
Nature of Technology DC EVEREST AREA SCHOOL DISTRICT 1. Understands the characteristics and scope of technology. IT 1.3-5.1 IT 1.3-5.2 IT 1.3-5.3 IT 1.3-5.4 Knows things that are found in nature differ
More informationNHPSS An Automated OTC Pharmaceutical Sales Surveillance System
NHPSS An Automated OTC Pharmaceutical Sales Surveillance System Xiaohui Zhang, Ph.D., Reno Fiedler, and Michael Popovich Introduction Development of public health surveillance systems requires multiple
More informationGuidelines for Animal Disease Control
Guidelines for Animal Disease Control 1. Introduction and objectives The guidelines are intended to help countries identify priorities, objectives and the desired goal of disease control programmes. Disease
More informationA Systemic Artificial Intelligence (AI) Approach to Difficult Text Analytics Tasks
A Systemic Artificial Intelligence (AI) Approach to Difficult Text Analytics Tasks Text Analytics World, Boston, 2013 Lars Hard, CTO Agenda Difficult text analytics tasks Feature extraction Bio-inspired
More informationPontifícia Universidade Católica do Paraná PUCPR
Pontifícia Universidade Católica do Paraná PUCPR A Comprehensive Confessional Communitarian University Abordagem Contextual e Sistêmica Prof. Marciano de Almeida Cunha, Dr. Prof. Thiago Cinelli Maceri,
More informationKEY KNOWLEDGE MANAGEMENT TECHNOLOGIES IN THE INTELLIGENCE ENTERPRISE
KEY KNOWLEDGE MANAGEMENT TECHNOLOGIES IN THE INTELLIGENCE ENTERPRISE RAMONA-MIHAELA MATEI Ph.D. student, Academy of Economic Studies, Bucharest, Romania ramona.matei1982@gmail.com Abstract In this rapidly
More informationQuality Control of National Genetic Evaluation Results Using Data-Mining Techniques; A Progress Report
Quality Control of National Genetic Evaluation Results Using Data-Mining Techniques; A Progress Report G. Banos 1, P.A. Mitkas 2, Z. Abas 3, A.L. Symeonidis 2, G. Milis 2 and U. Emanuelson 4 1 Faculty
More informationGame Design From Concepts To Implementation
Game Design From Concepts To Implementation Overview of a Game Engine What is a Game Engine? (Really) Technical description of game: A Soft real-time interactive agent-based computer simulation A game
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 informationChapter 11. Managing Knowledge
Chapter 11 Managing Knowledge VIDEO CASES Video Case 1: How IBM s Watson Became a Jeopardy Champion. Video Case 2: Tour: Alfresco: Open Source Document Management System Video Case 3: L'Oréal: Knowledge
More informationMED 2400 MEDICAL INFORMATICS FUNDAMENTALS
MED 2400 MEDICAL INFORMATICS FUNDAMENTALS NEW YORK CITY COLLEGE OF TECHNOLOGY The City University Of New York School of Arts and Sciences Biological Sciences Department Course title: Course code: MED 2400
More informationANALYTICS IN BIG DATA ERA
ANALYTICS IN BIG DATA ERA ANALYTICS TECHNOLOGY AND ARCHITECTURE TO MANAGE VELOCITY AND VARIETY, DISCOVER RELATIONSHIPS AND CLASSIFY HUGE AMOUNT OF DATA MAURIZIO SALUSTI SAS Copyr i g ht 2012, SAS Ins titut
More informationVeterinary Science and the Teaching and Practice of Health Care Professionals
Veterinary Science and the Teaching and Practice of Health Care Professionals Gary C.W. England Similarities and differences of medicine and veterinary medicine Medicine Students Education GP practice
More informationMAPPING CHAPTER 6 INTRODUCTION CONTENTS
CHAPTER 6 MAPPING INTRODUCTION Maps are essential tools in the effective implementation of FMD control measures. They are used to define control zones, to plan surveillance and slaughter/removal activities,
More informationHomeland Security Presidential Directive/HSPD-9 Subject: Defense of United States Agriculture and Food January 30, 2004
For Immediate Release Office of the Press Secretary February 3, 2004 Homeland Security Presidential Directive/HSPD-9 Subject: Defense of United States Agriculture and Food January 30, 2004 Purpose (1)
More informationBigData@Chalmers Machine Learning Business Intelligence, Culturomics and Life Sciences
BigData@Chalmers Machine Learning Business Intelligence, Culturomics and Life Sciences Devdatt Dubhashi LAB (Machine Learning. Algorithms, Computational Biology) D&IT Chalmers Entity Disambiguation
More informationFood safety threats international coordination
Food safety threats international coordination Jørgen Schlundt Director, Department of Food Safety, Zoonoses and Foodborne Diseases, WHO Washington 25-26 October 2005 Department of Food Safety, Zoonoses
More information01219211 Software Development Training Camp 1 (0-3) Prerequisite : 01204214 Program development skill enhancement camp, at least 48 person-hours.
(International Program) 01219141 Object-Oriented Modeling and Programming 3 (3-0) Object concepts, object-oriented design and analysis, object-oriented analysis relating to developing conceptual models
More informationUSDA CSREES Animal Health Programs
USDA CSREES Animal Health Programs Update Gary Sherman, MS, DVM, PhD National Program Leader Veterinary Science National Program Leader Veterinary Clinical Medicine, Population Health and Extension (Acting)
More informationGraduate Programs - What Are the Requirements?
Veterinary School in the US In short, we complete primary school, which is kindergarten through the12 class (or grade as we call it in the states). We receive a high school diploma, take two national examines
More informationSome Research Challenges for Big Data Analytics of Intelligent Security
Some Research Challenges for Big Data Analytics of Intelligent Security Yuh-Jong Hu hu at cs.nccu.edu.tw Emerging Network Technology (ENT) Lab. Department of Computer Science National Chengchi University,
More informationNational Education Technology Standards
National Education Technology Standards Objectives Satisfied by Each Deliverable in the Program 1 Basic operations and concept Students demonstrate a sound understanding of the nature and operation of
More informationAPPENDIX to http://dx.doi.org/10.4338/aci-2014-09-ra-0083 CAHIIM 2012 Curriculum Requirements Health Informatics Master s Degree
APPENDIX to http://dx.doi.org/10.4338/aci-2014-09-ra-0083 CAHIIM 2012 Curriculum Requirements Health Informatics Master s Degree Column 1 - Health Informatics Facet I. Information Systems concerned with
More informationSAS Text Analytics. SHRUG Feb.24, 2012. Fiona McNeill - @textanalyticsfr. Copyright 2011, SAS Institute Inc. All rights reserved.
SAS Text Analytics SHRUG Feb.24, 2012 Fiona McNeill - @textanalyticsfr EXTERNAL VIEWPOINT ORGANIZATION S USE OF DATA We put nearly all of the data that is of real value to good use 22% We probably leverage
More informationData Quality Mining: Employing Classifiers for Assuring consistent Datasets
Data Quality Mining: Employing Classifiers for Assuring consistent Datasets Fabian Grüning Carl von Ossietzky Universität Oldenburg, Germany, fabian.gruening@informatik.uni-oldenburg.de Abstract: Independent
More informationBig and Smart Data for efficient decisions: How to share with decision makers the practices of Big Data Analytics?
Big and Smart Data for efficient decisions: How to share with decision makers the practices of Big Data Analytics? Ali FOULADKAR (ali.fouladkar@upmf-grenoble.fr) PhD candidate, Grenoble University (UPMF),
More informationCS Master Level Courses and Areas COURSE DESCRIPTIONS. CSCI 521 Real-Time Systems. CSCI 522 High Performance Computing
CS Master Level Courses and Areas The graduate courses offered may change over time, in response to new developments in computer science and the interests of faculty and students; the list of graduate
More informationAvigdor Gal Technion Israel Institute of Technology
Avigdor Gal Technion Israel Institute of Technology Tutorial Big data integration Applications of big data integration Current challenges and future research directions Big data is a game changer From
More informationKNOWLEDGE-BASED IN MEDICAL DECISION SUPPORT SYSTEM BASED ON SUBJECTIVE INTELLIGENCE
JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 22/2013, ISSN 1642-6037 medical diagnosis, ontology, subjective intelligence, reasoning, fuzzy rules Hamido FUJITA 1 KNOWLEDGE-BASED IN MEDICAL DECISION
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 informationCulture-Independent Diagnostics Forum: Charting a Path for Public Health
Culture-Independent Diagnostics Forum: Charting a Path for Public Health The Consumer Perspective Dr. Barbara Kowalcyk April 25, 2012 A Basic Human Right Food is strength, and food is peace and food is
More information8. KNOWLEDGE BASED SYSTEMS IN MANUFACTURING SIMULATION
- 1-8. KNOWLEDGE BASED SYSTEMS IN MANUFACTURING SIMULATION 8.1 Introduction 8.1.1 Summary introduction The first part of this section gives a brief overview of some of the different uses of expert systems
More informationKing Mongkut s University of Technology North Bangkok 4 Division of Business Computing, Faculty of Management Science
(IJCSIS) International Journal of Computer Science and Information Security, Ontology-supported processing of clinical text using medical knowledge integration for multi-label classification of diagnosis
More informationGraduate Co-op Students Information Manual. Department of Computer Science. Faculty of Science. University of Regina
Graduate Co-op Students Information Manual Department of Computer Science Faculty of Science University of Regina 2014 1 Table of Contents 1. Department Description..3 2. Program Requirements and Procedures
More informationThe interface between wild boar and extensive pig production:
The interface between wild boar and extensive pig production: implications for the spread of ASF in Eastern Europe Sergei Khomenko, PhD Disease ecology & wildlife Specialist, FAO HQ Epidemiological cycle
More informationsignificantly to the Gross Domestic Product (GDP) GDP is over a trillion dollars/yr
Agricultural Emergency Response Training (AgERT) Auburn University College of Veterinary Medicine Julie A. Gard, BS, DVM, PhD, DACT (presented by Donna Angarano) Why a concern? ce Agriculture contributes
More informationUsing Normalized Status Change Events Data in Business Intelligence. Mark C. Cooke, Ph.D. Tax Management Associates, Inc.
Using Normalized Status Change Events Data in Business Intelligence Mark C. Cooke, Ph.D. Tax Management Associates, Inc. A note to the audience TMA is a company that serves state and local government,
More informationAuto-Classification for Document Archiving and Records Declaration
Auto-Classification for Document Archiving and Records Declaration Josemina Magdalen, Architect, IBM November 15, 2013 Agenda IBM / ECM/ Content Classification for Document Archiving and Records Management
More informationEuropass curriculum vitae. Personal information
Europass curriculum vitae Personal information GIORGIO VARISCO First name(s) / Surname(s) Address(es) VIA M.TIRANDI, n. 29-25128 BRESCIA Telephone(s) 0302290234 Mobile: 3351436343 Fax(es) E-mail giorgio.varisco@izsler.it
More informationA Special Session on. Handling Uncertainties in Big Data by Fuzzy Systems
A Special Session on Handling Uncertainties in Big Data by Fuzzy Systems organized by Jie Lu, Cheng-Ting Lin, Farookh Khadeer Hussain, Vahid Behbood, Guangquan Zhang Description The volume, variety, velocity,
More informationThe following are the measurable objectives for graduated computer science students (ABET Standards):
Computer Science A Bachelor of Science degree (B.S.) in Computer Science prepares students for careers in virtually any industry or to continue on with graduate study in Computer Science and many other
More informationTHE INTEGRATION OF A LABORATORY INFORMATION MANAGEMENT SYSTEM WITHIN A NATIONAL LIVESTOCK IDENTIFICATION AND TRACEABILITY SYSTEM IN AFRICAN COUNTRIES
THE INTEGRATION OF A LABORATORY INFORMATION MANAGEMENT SYSTEM WITHIN A NATIONAL LIVESTOCK IDENTIFICATION AND TRACEABILITY SYSTEM IN AFRICAN COUNTRIES Patrizia Colangeli, Ercole Del Negro and Massimo Scacchia
More informationMining of predictive patterns in Electronic health records data
Mining of predictive patterns in Electronic health records data Iyad Batal and Milos Hauskrecht Department of Computer Science University of Pittsburgh milos@cs.pitt.edu 1 Introduction The emergence of
More informationBig Data Processing and Analytics for Mouse Embryo Images
Big Data Processing and Analytics for Mouse Embryo Images liangxiu han Zheng xie, Richard Baldock The AGILE Project team FUNDS Research Group - Future Networks and Distributed Systems School of Computing,
More informationMachine Learning/Data Mining for Cancer Genomics
Machine Learning/Data Mining for Cancer Genomics Bernard Manderick, Vrije Universiteit Brussel Henry Nyongesa, University of the Western Cape Collaboration: Artificial Intelligence Laboratory VUB Intelligent
More informationTHE ROYAL VETERINARY COLLEGE UNIVERSITY OF LONDON. Applies to the cohort commencing 2013
THE ROYAL VETERINARY COLLEGE UNIVERSITY OF LONDON Applies to the cohort commencing 2013 1. Awarding institution The Royal Veterinary College and the London School of Hygiene and Tropical Medicine 2. Teaching
More informationTowards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems
Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems Volker Markl volker.markl@tu-berlin.de dima.tu-berlin.de dfki.de/web/research/iam/ bbdc.berlin Based on my 2014 Vision Paper On
More informationMedical Big Data Interpretation
Medical Big Data Interpretation Vice president of the Xiangya Hospital, Central South University The director of the ministry of mobile medical education key laboratory Professor Jianzhong Hu BIG DATA
More informationMining Text Data for Useful Information in Higher Education John Zilvinskis Indiana University
Mining Text Data for Useful Information in Higher Education John Zilvinskis Indiana University Institutional Researchers Credo We have not succeeded in answering all our problems indeed we sometimes feel
More informationSTEM Designated Degree Program List Effective May 10, 2016
STEM Designated Degree Program List Effective May 10, 2016 The STEM Designated Degree Program list is a complete list of fields of study that DHS considers to be science, technology, engineering or mathematics
More informationmolis vt molis vt channel molis vt communicator molis vt billing molis vt insight Laboratory Management System
molis vt molis vt channel molis vt communicator molis vt billing molis vt insight molis vt Laboratory Management System 1 Laboratory Management System Product Overview With its molis vt product suite,
More informationOperations Research and Knowledge Modeling in Data Mining
Operations Research and Knowledge Modeling in Data Mining Masato KODA Graduate School of Systems and Information Engineering University of Tsukuba, Tsukuba Science City, Japan 305-8573 koda@sk.tsukuba.ac.jp
More informationBrief Introduction to the AHSN and the current work
Supporting better healthcare: An overview Title of the East Midlands Academic Health Name Science Network and The Information Analysts Date Development Programme Jim Hatton Brief Introduction to the AHSN
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 informationIntroduction to Public Health Informatics
Introduction to Public Health Informatics Definitions, Approach, and Analysis Janise Richards, MS, MPH, PhD jrichards@cdc.gov Public Health Informatics: What is it? A Definition: Public health informatics
More informationComputational Science and Informatics (Data Science) Programs at GMU
Computational Science and Informatics (Data Science) Programs at GMU Kirk Borne George Mason University School of Physics, Astronomy, & Computational Sciences http://spacs.gmu.edu/ Outline Graduate Program
More informationBusiness Information Systems. IT Enabled Services And Emerging Technologies. Chapter 4: Facilitated e-learning Part 1 of 2 CA M S Mehta, FCA
Business Information Systems IT Enabled Services And Emerging Technologies Chapter 4: Facilitated e-learning Part 1 of 2 CA M S Mehta, FCA 1 Business Information Systems Task Statements 1.6 Consider the
More informationInformation Management course
Università degli Studi di Milano Master Degree in Computer Science Information Management course Teacher: Alberto Ceselli Lecture 01 : 06/10/2015 Practical informations: Teacher: Alberto Ceselli (alberto.ceselli@unimi.it)
More informationA digital management system of cow diseases on dairy farm
A digital management system of cow diseases on dairy farm Lin Li 1, Hongbin Wang 2, Yong Yang 3, Jianbin He 1, Jing Dong 1 *, Honggang Fan 2 1 School of Animal Husbandry and Veterinary Medicine, Shenyang
More informationBIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON
BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON Overview * Introduction * Multiple faces of Big Data * Challenges of Big Data * Cloud Computing
More informationVeterinary Practice Management
The Further Education and Training Awards Council (FETAC) was set up as a statutory body on 11 June 2001 by the Minister for Education and Science. Under the Qualifications (Education & Training) Act,
More informationD A T A M I N I N G C L A S S I F I C A T I O N
D A T A M I N I N G C L A S S I F I C A T I O N FABRICIO VOZNIKA LEO NARDO VIA NA INTRODUCTION Nowadays there is huge amount of data being collected and stored in databases everywhere across the globe.
More informationACCREDITATION AND RECOGNITION OF VETERINARY SCHOOL QUALIFICATIONS & ACCREDITATIONS COMMITTEE MALAYSIAN VETERINARY COUNCIL 2013
ACCREDITATION AND RECOGNITION OF VETERINARY SCHOOL QUALIFICATIONS & ACCREDITATIONS COMMITTEE MALAYSIAN VETERINARY COUNCIL 2013 A. INTRODUCTION In the year 2012, the Malaysian Veterinary Council has formalized
More informationcommunication between two digital agents in geometry friends.
UDC 004.8 Yamada A., Mozgovoy M. communication between two digital agents in geometry friends. 1. Introduction. Digital games take a role of a story teller. Efficient, realistic storytelling requires realistic
More informationMonday, August 25, 2014
Danish Dementia Research Centre, Copenhagen University Kristian Steen Frederiksen, MD, PhD; Danish Dementia Research Centre, Copenhagen University Danish Dementia Research Centre, Copenhagen University
More informationMachine Learning, Data Mining, and Knowledge Discovery: An Introduction
Machine Learning, Data Mining, and Knowledge Discovery: An Introduction AHPCRC Workshop - 8/17/10 - Dr. Martin Based on slides by Gregory Piatetsky-Shapiro from Kdnuggets http://www.kdnuggets.com/data_mining_course/
More informationBig Data Text Mining and Visualization. Anton Heijs
Copyright 2007 by Treparel Information Solutions BV. This report nor any part of it may be copied, circulated, quoted without prior written approval from Treparel7 Treparel Information Solutions BV Delftechpark
More informationHGH BI Solutions. Business Intelligence & Integration. Equipping Your Organization for Effective Decision Making
HGH BI Solutions Business Intelligence & Integration Equipping Your Organization for Effective Decision Making Peter Kranenburg RI MCP HGH Business Consultancy B.V. Agenda BI building blocks - components
More informationAn interdisciplinary model for analytics education
An interdisciplinary model for analytics education Raffaella Settimi, PhD School of Computing, DePaul University Drew Conway s Data Science Venn Diagram http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
More informationHow To Understand The State Of The Art In Animal Health Risk Assessment
Survey Questionnaires Surveillance Activities and University Researchers in Animal Health Risk Assessment Science Advice in the Public Interest Survey Questionnaires 1 Survey Questionnaires Surveillance
More informationEFFICIENT DATA PRE-PROCESSING FOR DATA MINING
EFFICIENT DATA PRE-PROCESSING FOR DATA MINING USING NEURAL NETWORKS JothiKumar.R 1, Sivabalan.R.V 2 1 Research scholar, Noorul Islam University, Nagercoil, India Assistant Professor, Adhiparasakthi College
More informationEnhanced Boosted Trees Technique for Customer Churn Prediction Model
IOSR Journal of Engineering (IOSRJEN) ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 04, Issue 03 (March. 2014), V5 PP 41-45 www.iosrjen.org Enhanced Boosted Trees Technique for Customer Churn Prediction
More informationHybrid Model For Intrusion Detection System Chapke Prajkta P., Raut A. B.
www.ijecs.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume1 Issue 3 Dec 2012 Page No. 151-155 Hybrid Model For Intrusion Detection System Chapke Prajkta P., Raut A. B.
More informationSelf-Improving Supply Chains
Self-Improving Supply Chains Cyrus Hadavi Ph.D. Adexa, Inc. All Rights Reserved January 4, 2016 Self-Improving Supply Chains Imagine a world where supply chain planning systems can mold themselves into
More informationIBM Data Warehousing and Analytics Portfolio Summary
IBM Information Management IBM Data Warehousing and Analytics Portfolio Summary Information Management Mike McCarthy IBM Corporation mmccart1@us.ibm.com IBM Information Management Portfolio Current Data
More informationmedexter clinical decision support
medexter Arden Syntax training course Klaus-Peter Adlassnig and Karsten Fehre Medexter Healthcare Borschkegasse 7/5 A-1090 Vienna www.medexter.com Arden Syntax training course, Vienna, 17 June 2015 Computers
More informationBig Data Analytics and Healthcare
Big Data Analytics and Healthcare Anup Kumar, Professor and Director of MINDS Lab Computer Engineering and Computer Science Department University of Louisville Road Map Introduction Data Sources Structured
More informationLluis Belanche + Alfredo Vellido. Intelligent Data Analysis and Data Mining
Lluis Belanche + Alfredo Vellido Intelligent Data Analysis and Data Mining a.k.a. Data Mining II Office 319, Omega, BCN EET, office 107, TR 2, Terrassa avellido@lsi.upc.edu skype, gtalk: avellido Tels.:
More informationGerard Mc Nulty Systems Optimisation Ltd gmcnulty@iol.ie/0876697867 BA.,B.A.I.,C.Eng.,F.I.E.I
Gerard Mc Nulty Systems Optimisation Ltd gmcnulty@iol.ie/0876697867 BA.,B.A.I.,C.Eng.,F.I.E.I Data is Important because it: Helps in Corporate Aims Basis of Business Decisions Engineering Decisions Energy
More informationTowards applying Data Mining Techniques for Talent Mangement
2009 International Conference on Computer Engineering and Applications IPCSIT vol.2 (2011) (2011) IACSIT Press, Singapore Towards applying Data Mining Techniques for Talent Mangement Hamidah Jantan 1,
More informationUse of Whole Genome Sequencing (WGS) of food-borne pathogens for public health protection
EFSA Scientific Colloquium n 20 Use of Whole Genome Sequencing (WGS) of food-borne pathogens for public health protection Parma, Italy, 16-17 June 2014 Why WGS based approach Infectious diseases are responsible
More information1. Scope of Games and Game Systems. 2. Evolution of Current Game Designs. 3. New Game Forms Utilising New and Emerging Technical Media
Game Development in Networks of the Future Craig Lindley craig.lindley@hgo.se Game Design, Cognition and Artificial Intelligence Research Group Department of Game Design, Narrative and Time-Based Media
More informationNeural Networks and Back Propagation Algorithm
Neural Networks and Back Propagation Algorithm Mirza Cilimkovic Institute of Technology Blanchardstown Blanchardstown Road North Dublin 15 Ireland mirzac@gmail.com Abstract Neural Networks (NN) are important
More informationE-Learning Using Data Mining. Shimaa Abd Elkader Abd Elaal
E-Learning Using Data Mining Shimaa Abd Elkader Abd Elaal -10- E-learning using data mining Shimaa Abd Elkader Abd Elaal Abstract Educational Data Mining (EDM) is the process of converting raw data from
More informationRATES OF CONCEPTION BY ARTIFICIAL INSEMINATION OF. 1 Miss. Rohini Paramsothy Faculty of Agriculture University of Jaffna
RATES OF CONCEPTION BY ARTIFICIAL INSEMINATION OF DAIRY COWS IN JAFFNA DISTRICT 1 Miss. Rohini Paramsothy Faculty of Agriculture University of Jaffna INTRODUCTION Conception rates of dairy cows are influenced
More informationHow To Get A Computer Engineering Degree
COMPUTER ENGINEERING GRADUTE PROGRAM FOR MASTER S DEGREE (With Thesis) PREPARATORY PROGRAM* COME 27 Advanced Object Oriented Programming 5 COME 21 Data Structures and Algorithms COME 22 COME 1 COME 1 COME
More informationMachine Learning in Hospital Billing Management. 1. George Mason University 2. INOVA Health System
Machine Learning in Hospital Billing Management Janusz Wojtusiak 1, Che Ngufor 1, John M. Shiver 1, Ronald Ewald 2 1. George Mason University 2. INOVA Health System Introduction The purpose of the described
More informationPlanning for an Influenza Pandemic
Overview It is unlikely that a new pandemic influenza strain will first emerge within Elgin County. The World Health Organization (WHO) uses a series of six phases, as outlined below, of pandemic alert
More informationComparison of K-means and Backpropagation Data Mining Algorithms
Comparison of K-means and Backpropagation Data Mining Algorithms Nitu Mathuriya, Dr. Ashish Bansal Abstract Data mining has got more and more mature as a field of basic research in computer science and
More informationPrimary Health Care and Health Information Needs In Malaysia Syed Aljunid
UNU- International Institute For Global Health (UNU-IIGH) Primary Health Care and Health Information Needs In Malaysia Syed Aljunid MD (UKM) MSc Public Health (Singapore) PhD (Health Econs and Financing)
More informationSensor Information Representation for the Internet of Things
Sensor Information Representation for the Internet of Things Jiehan Zhou Jiehan.zhou@ee.oulu.fi University of Oulu, Finland Carleton University, Canada Agenda Internet of Things and Challenges Application
More informationTowards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition
Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition Vasant Honavar 1 and Doina Caragea 2 1 Artificial Intelligence Research Laboratory, Department of Computer Science, Iowa State
More informationVETERINARY MEDICINE IN AFGHANISTAN Dr. Nasrin Stanikzai AFGHANISTAN History of Veterinary Medicine in Afghanistan In Afghanistan it has been traditional to use the horse as a mode of transportation. The
More informationManagement is designed to produce veterinarians and veterinary officers who are
Graduate Diploma Program in Veterinary in Livestock Diseases and Health Management International Program (New curriculum 2009) 1. Title of curriculum Graduate Diploma Program in Veterinary in Livestock
More informationIO Informatics The Sentient Suite
IO Informatics The Sentient Suite Our software, The Sentient Suite, allows a user to assemble, view, analyze and search very disparate information in a common environment. The disparate data can be numeric
More informationThe Danish veterinary preparedness for avian influenza and Newcastle disease
The Danish veterinary preparedness for avian influenza and Newcastle disease Sten Mortensen, Veterinary R&D manager, Animal Health Division, Deputy head 19-04-2016 Livestock statistics, Denmark 2015 Species
More information