Introduction to Data Mining with Case Studies

Slides:



Advertisements
Similar presentations
Your dissertation and the Library James Webley 19 February 2013.
Advertisements

Project Plan ( Regression Analysis ) EMIS 7370 By Mohannad Almurshed.
A Data Mining Course for Computer Science and non Computer Science Students Jamil Saquer Computer Science Department Missouri State University Springfield,
Nokia Technology Institute Natural Partner for Innovation.
Project Lead the Way An Orientation American High School.
Computational Intelligence: Methods and Applications Lecture 1 Organization and overview Włodzisław Duch Dept. of Informatics, UMK Google: W Duch.
These slides are additional material for TIES4451 Data Mining Lecture 1 TIES445 Data mining Nov-Dec 2007 Sami Äyrämö.
2015/6/1Course Introduction1 Welcome! MSCIT 521: Knowledge Discovery and Data Mining Qiang Yang Hong Kong University of Science and Technology
Association Rule Mining Part 2 (under construction!) Introduction to Data Mining with Case Studies Author: G. K. Gupta Prentice Hall India, 2006.
Introduction to Data Mining with Case Studies
CS/CMPE 536 –Data Mining Outline. CS Data Mining (Au 2004/2005) - Asim LUMS2 Description A comprehensive introduction to the concepts and.
CS/CMPE 535 – Machine Learning Outline. CS Machine Learning (Wi ) - Asim LUMS2 Description A course on the fundamentals of machine.
CS 536 –Data Mining Outline.
CS/CMPE 636 – Advanced Data Mining Outline. CS Adv. Data Mining (Wi 2004/2005) - Asim LUMS2 Description Cover recent developments in some.
1 Data Mining Techniques Instructor: Ruoming Jin Fall 2006.
1 ICS 223: Transaction Processing and Distributed Data Management Winter 2008 Professor Sharad Mehrotra Information and Computer Science University of.
CS/CMPE 636 – Advanced Data Mining Outline. CS Adv. Data Mining (Wi ) - Asim LUMS2 Description Cover recent developments in some.
CSC 466: Knowledge Discovery From Data Alex Dekhtyar Department of Computer Science Cal Poly New Computer Science Elective.
CS/CMPE 536 –Data Mining Outline. CS Data Mining (Au ) - Asim LUMS2 Description A comprehensive introduction to the concepts and.
1 Introduction to Data Mining Instructor: Y.T. Wang ( 王耀德 ) Office: 主顧 686 Phone: (04) # Office hours:
DASHBOARDS Dashboard provides the managers with exactly the information they need in the correct format at the correct time. BI systems are the foundation.
Introduction to Data Mining Engineering Group in ACL.
CSc288 Term Project Data mining on predict Voice-over-IP Phones market Huaqin Xu.
Lecture-1 Introduction and Background
CSCI 347 – Data Mining Lecture 01 – Course Overview.
Game Theoretic Problems in Network Economics and Mechanism Design Solutions Yadati Narahari, Dinesh Garg, Ramasuri Narayanam, Hastagiri Prakash Series:
1 Data Mining Books: 1.Data Mining, 1996 Pieter Adriaans and Dolf Zantinge Addison-Wesley 2.Discovering Data Mining, 1997 From Concept to Implementation.
Xiaoying Sharon Gao Mengjie Zhang Computer Science Victoria University of Wellington Introduction to Artificial Intelligence COMP 307.
Project MLExAI Machine Learning Experiences in AI Ingrid Russell, University.
Course Title Database Technologies Instructor: Dr ALI DAUD Course Credits: 3 with Lab Total Hours: 45 approximately.
Data Mining Applied to Document Imaging Jeff Rekoske.
CS525 DATA MINING COURSE INTRODUCTION YÜCEL SAYGIN SABANCI UNIVERSITY.
CSE 373, S. Tanimoto Introduction - 1 Data Structures and Algorithms Computational Structures and Methods in a 21st Century Context Computer Science and.
Data Mining with Oracle using Classification and Clustering Algorithms Proposed and Presented by Nhamo Mdzingwa Supervisor: John Ebden.
Data Warehousing Lecture-1 1. Introduction and Background 2.
Data Warehousing/Mining 1 Data Warehousing/Mining Comp 150DW Course Overview Instructor: Dan Hebert.
Information Retrieval and Data Mining (AT71.07) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology.
Introduction of Data Mining and Association Rules cs157 Spring 2009 Instructor: Dr. Sin-Min Lee Student: Dongyi Jia.
1 IMM472 資料探勘 陳春賢. 2 Lecture I Class Introduction.
MAIN BOOKS 1. DATA WAREHOUSING IN THE REAL WORLD : Sam Anshory & Dennis Murray, Pearson 2. DATA MINING CONCEPTS AND TECHNIQUES : Jiawei Han & Micheline.
An Evaluation of Commercial Data Mining Proposed and Presented by Emily Davis Supervisor: John Ebden.
General Information 439 – Data Mining Assist.Prof.Dr. Derya BİRANT.
9/03 Data Mining – Introduction G Dong (WSU)1 CS499/ Data Mining Fall 2003 Professor Guozhu Dong Computer Science & Engineering WSU.
ML, DM education What’s cookin’ ? Maja Skrjanc, Tanja Urbancic, Peter Flach.
Acct 6910 Building Business Intelligence Systems Class Introduction – From Data to Knowledge.
Internet and Intranet Fundamentals William R. Mussatto.
Notes for Week 11 Term project evaluation and tips 3 lectures before Final exam Discussion questions for this week.
OMIS 694, Big Data Analytics
Introduction to Biometrics Dr. Bhavani Thuraisingham The University of Texas at Dallas Introduction to the Course August 22, 2005.
CSCE 5073 Section 001: Data Mining Spring Overview Class hour 12:30 – 1:45pm, Tuesday & Thur, JBHT 239 Office hour 2:00 – 4:00pm, Tuesday & Thur,
1 SBM411 資料探勘 陳春賢. 2 Lecture I Class Introduction.
1 IMM472 資料探勘 陳春賢. 2 Lecture I Class Introduction.
Machine Learning in CSC 196K
Waqas Haider Bangyal. 2 Source Materials “ Data Mining: Concepts and Techniques” by Jiawei Han & Micheline Kamber, Second Edition, Morgan Kaufmann, 2006.
DATA MINING IN THE CORPORATE WORLD BY RYANN A. WARD.
1 Data Mining on New Road Prediction By Qing Liu Dec. 9, 2004.
Sotarat Thammaboosadee, Ph.D. EGIT563- Data Mining Course Outline.
1 SBM411 資料探勘 陳春賢. 2 Lecture I Class Introduction.
DATABASE SYSTEM COURSE SYLLABUS Ghulam Imaduddin Informatics Engineering Muhammadiyah Jakarta University Database System by Ghulam I1.
CPE741: Distributed Systems Course Introduction
MIS 451 Building Business Intelligence Systems
Data Mining: Concepts and Techniques Course Outline
OMIS 665, Big Data Analytics
Chapter 4 - Case Study Clustering
Fundamental of Artificial Intelligence (CSC3180)
Dept. of Computer Science University of Liverpool
Welcome! Knowledge Discovery and Data Mining
CSCE 4143 Section 001: Data Mining Spring 2019.
Information Retrieval and Data Mining (AT71. 07) Comp. Sc. and Inf
Presentation transcript:

Introduction to Data Mining with Case Studies Textbook Outline Introduction to Data Mining with Case Studies Author: G. K. Gupta Prentice Hall India, 2006.

About the Textbook The book is written for computer science and business students, for example senior year students in computer science or business as well as students in MBA or MCA courses. The book has been used at both Bond University and Monash University where the classes were diverse and some students did not have a strong mathematical background. My aim in writing the book was to ensure that students were exposed to all major data mining techniques. Mathematical concepts were not avoided but presented in a way that could be understood by students without strong mathematical background. 27 Nov 2008 ©GKGupta

Topics covered Association Rules Classification Clustering Web data mining Search Engines Data warehousing OLAP Privacy in Data Mining 27 Nov 2008 ©GKGupta

Case Studies The textbook has 12 case studies. Case studies illustrate practical uses of the data mining techniques covered in this course. To get full benefit, students need to read the case studies carefully although a summary of each case study is given in the textbook to provide motivation. 27 Nov 2008 ©GKGupta

Case Studies The case studies illustrate how data mining can be used in practical situations. The case studies have been published in journals. Just because a person learns the techniques does not mean he/she can apply in real life. Why? 27 Nov 2008 ©GKGupta

Some other Data Mining Books D. Hand, H. Mannila and P. Smyth, Principles of Data Mining, MIT Press, 2001. J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2001. The Web site for this book is http://www.cs.sfu.ca/~han/DM_Book. I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 2000. The Web site for this book is www.mkp.com/datamining. 27 Nov 2008 ©GKGupta

Some other Data Mining Books * 07/16/96 Some other Data Mining Books M. Berry and G. Linoff, Data Mining Techniques: For Marketing, Sales, and Customer Support, Paperback, 1997 M. Berry and G. Linoff, Mastering Data Mining, Paperback, 1999 V. Dhar and R. Stein, Seven Methods for Transforming Corporate Data into Business Intelligence, 1997 27 Nov 2008 ©GKGupta *