Online Data Mining Books

Uli Bethke data mining, Training, Uncategorized, Web Mining

Recently a new online Data Mining resource/Book was made available by Dr. Saed Sayad at University of Tronoto.

He has developed a very good and clear to follow online book on the various parts of a data mining project in in particular the various techniques. It also follows the CRISP-DM process.

http://chem-eng.utoronto.ca/~datamining/dmc/data_mining_map.htm

More online books that a bit more technical are

Elements of Statistical Learning by Stanford University

http://www-stat.stanford.edu/~tibs/ElemStatLearn

2nd Edition of the Data Mining Book: Contcepts, Techniques and Applications

http://www.dataminingbook.com/

A popular academic book is Introduction to Data Mining by Tan et al. If you go to the publishers website the chapters on the main data mining techniques are available free.

Mining Massive Datasets - By Anand Rajaraman and Jeffrey D. Ullman

For Visual Data Mining techniques the following are excellent resources

Visual Analytics Book - www.vismaster.eu/book/

IBM Many Eye Project - http://www-958.ibm.com/software/data/cognos/manyeyes/

There is also the recent book by Tom Davenport called Analytics At Work.

Book web site http://www.analyticsatworkbook.com/

Updated 11-Jan-11

Reactive Business Intelligence - Online Data Mining Book

Information is Beautiful

About the author

Uli Bethke LinkedIn Profile

Uli has 18 years’ hands on experience as a consultant, architect, and manager in the data industry. He frequently speaks at conferences. Uli has architected and delivered data warehouses in Europe, North America, and South East Asia. He is a traveler between the worlds of traditional data warehousing and big data technologies.

Uli is a regular contributor to blogs and books, holds an Oracle ACE award, and chairs the the Hadoop User Group Ireland. He is also a co-founder and VP of the Irish chapter of DAMA, a non for profit global data management organization. He has co-founded the Irish Oracle Big Data User Group.