Jiawei Han
Jiawei Han. Michael Aiken Chair Professor. Siebel School of Computing and Data Science Univ. of Illinois at Urbana-Champaign Rm 2132, Siebel Center for Computer Science 201 N. Goodwin Avenue Urbana, IL 61801, USA E-mail: hanj [at]illinois.edu Ph.D. (1985), Computer Science, Univ. Wisconsin-Madison. Data Mining, Text Mining, Intelligent Systems
Han and Kamber: Data Mining---Concepts and Techniques, 2nd …
Jiawei Han, Micheline Kamber and Jian Pei Data Mining: Concepts and Techniques, 3 rd ed. The Morgan Kaufmann Series in Data Management Systems Morgan Kaufmann Publishers, July 2011. ISBN 978-0123814791 “ We are living in the data deluge age.
Han, Pei and Tong: Data Mining---Concepts and Techniques, 4th …
Jiawei Han, Jian Pei and Hanghang Tong. Data Mining: Concepts and Techniques, 4 th ed. Morgan Kaufmann Publishers, An imprint of Elsevier 2023. ISBN 978-0-12-811760-6 . Table of Contents in PDF. Slides (in PowerPoint form) Instructors' manual (Note: Please contact the Publisher to get the manual if you are an instructor of a course.
viii Contents 1.10 Summary 39 Exercises 40 Bibliographic Notes 42 Chapter 2 Data Preprocessing 47 2.1 Why Preprocess the Data? 48 2.2 Descriptive Data Summarization 51 2.2.1 Measuring the Central Tendency 51 2.2.2 Measuring the Dispersion of Data 53 2.2.3 Graphic Displays of Basic Descriptive Data Summaries 56
Han and Kamber: Data Mining---Concepts and Techniques, 2nd …
Go to the homepage of the first author, Prof. Jiawei Han: http://web.engr.illinois.edu/~hanj/ 2. Click the following links in the section of Teaching: a. UIUC CS412: An Introduction to Data Warehousing and Data Mining . b. UIUC CS512: Data Mining: Principles and Algorithms. 3.
Han and Kamber: Data Mining---Concepts and Techniques, 2nd …
“The second edition of Han and Kamber Data Mining: Concepts and Techniques updates and improves the already comprehensive coverage of the first edition and adds coverage of new and important topics, such as mining stream data, mining social networks, and mining spatial, multimedia, and other complex data.
54 HAN ET AL. 1. Introduction Frequent-pattern mining plays an essential role in mining associations (Agrawal et al., 1993, 1996; Agrawal and Srikant, 1994; Mannila et al., 1994), correlations (Brin et al., 1997), causality (Silverstein et al., 1998), sequential patterns (Agrawal and Srikant, 1995),
Book page - University of Illinois Urbana-Champaign
Jiawei Han and Micheline Kamber Data Mining: Concepts and Techniques, The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series Editor Morgan Kaufmann Publishers, August 2000. 550 pages. ISBN 1-55860-489-8
Burnaby, B.C., Canada V5A 1S6 E-mail: peijian, han, mortazav, hlpinto @cs.sfu.ca Qiming Chen Umeshwar Dayal Mei-Chun Hsu Hewlett-Packard Labs. Palo Alto, California 94303-0969 U.S.A. E-mail: qchen, dayal, mchsu @hpl.hp.com Abstract Sequential pattern mining is an important data min-ing problem with broad applications. It is challenging
tition is a line segment pipj (i < j), where pi and pj are the points chosen from the same trajectory. Line segments that belong to the same cluster are close to each other accord-ing to the distance measure. Notice that a trajectory can belong to multiple clusters since a trajectory is partitioned into multiple line segments, and clustering is ...