01Intro - September 16, 2009 Data Mining: Concepts and...

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Unformatted text preview: September 16, 2009 Data Mining: Concepts and Techniques 1 1 Data Mining: Concepts and Techniques (3 rd ed.) Chapter 1 Jiawei Han, Micheline Kamber, and Jian Pei University of Illinois at Urbana-Champaign & Simon Fraser University 2009 Han, Kamber & Pei. All rights reserved. September 16, 2009 Data Mining: Concepts and Techniques 2 September 16, 2009 Data Mining: Concepts and Techniques 2 September 16, 2009 Data Mining: Concepts and Techniques 3 September 16, 2009 Data Mining: Concepts and Techniques 3 Data and Information Systems (DAIS:) Course Structures at CS/UIUC Coverage: Database, data mining, text information systems, Web and bioinformatics Data mining Intro. to data warehousing and mining (CS412: Han Fall ) Data mining: Principles and algorithms (CS512: Han Spring ) Seminar: Advanced Topics in Data mining (CS591Han Fall and Spring. 1 credit unit) Independent Study: only if you seriously plan to do your Ph.D./M.S. on data mining and try to demonstrate your ability Database Systems: Introd. to database systems (CS411: Marianne Winslett and Kevin Chang Fall and Spring ) Advanced database systems (CS511: Kevin Chang Fall ) Text information systems Text information system (CS410 ChengXiang Zhai: Spring ) Bioinformatics Introduction to BioInformatics (Saurabh Sinha) CS591 Seminar on Bioinformatics (Sinha: 1 credit unit) Yahoo!-DAIS seminar (CS591Winslett Fall and Spring. 1 credit unit) September 16, 2009 Data Mining: Concepts and Techniques 4 September 16, 2009 Data Mining: Concepts and Techniques 4 CS412 Coverage (Chapters 1-7 of the TextBook) CS412 Coverage (BK2: 2 nd Ed.) Introduction Data Preprocessing Data Warehouse and OLAP Technology: An Introduction Advanced Data Cube Technology and Data Generalization Mining Frequent Patterns, Association and Correlations Classification and Prediction Cluster Analysis CS412 Coverage (BK3: 3 rd ed.) Introduction Getting to Know Your Data Data Preprocessing Data Warehouse and OLAP Technology: An Introduction Advanced Data Cube Technology Mining Frequent Patterns & Association: Basic Concepts Mining Frequent Patterns & Association: Advanced Methods Classification: Basic Concepts Classification: Advanced Methods Cluster Analysis: Basic Concepts Cluster Analysis: Advanced Methods Outlier Analysis The textbook book will be covered in two courses at CS, UIUC CS412: Introduction to data warehousing and data mining ( Fall ) CS512: Data mining: Principles and algorithms ( Spring ) September 16, 2009 Data Mining: Concepts and Techniques...
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This note was uploaded on 09/15/2009 for the course CS 421 taught by Professor Kamin during the Spring '08 term at University of Illinois at Urbana–Champaign.

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01Intro - September 16, 2009 Data Mining: Concepts and...

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