 |
|
What people are saying - Write a reviewUser ratings
User Review - Flag as inappropriate It is very good book for data mining beginners and researchers. Review: Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)User Review - Darin Brezeale - GoodreadsThis is a good, high level book on data mining. If you want heavy theory, you will need to look elsewhere. Read full review Related books
Contents
Common terms and phrasesaccuracy aggregate algorithm AllElectronics applications approach Apriori association rules attribute base cuboid Bayesian buyscomputer categorical cells Chapter class label classification cluster analysis clustering methods concept hierarchy constraints contains correlation count crosstab cuboid data analysis data cube data marts data mining system data set data streams data warehouse database systems decision tree defined described dimension table dimensions distribution documents efficient example Figure frequent itemsets frequent patterns function given graph graph mining iceberg cube input k-medoids machine learning measure minimum support multidimensional multimedia data multiple multirelational neural network node objects OLAP on-line outliers partition pattern mining performed prediction pruning regression represented retrieval scalable schema Section selection sequence similar snowflake schema space spatial data specified star schema statistical stored stream data structure subset Suppose techniques threshold tion training tuples transaction transformation tuples typically values variables vector visualization Popular passagesPage 703 - Lin, HS Sawhney, and K. Shim. Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases. Page 730 - E. Osuna, R. Freund and F. Girosi, "An improved training algorithm for support vector machines, Page 734 - G. Sheikholeslami, S. Chatterjee, and A. Zhang. Wavecluster: A multi-resolution clustering approach for very large spatial databases. Page 705 - B. Babcock, S. Babu, M. Datar, R. Motwani, and J. Widom, Models and issues in data stream systems, in Proceedings of the 2002 ACM Symposium on Principles of Database Systems, June 2002, pp. Page 717 - M. Garofalakis, R. Rastogi, and K. Shim. Spirit: Sequential pattern mining with regular expression constraints. References to this bookFrom other books
From Google ScholarCharm: An Efficient Algorithm for Closed Itemset MiningMohammed J Zaki, Ching-Jui Hsiao On Clustering Validation TechniquesMaria Halkidi, Yannis Batistakis, Michalis Vazirgiannis - 2001 - Journal of Intelligent Information Systems Visualizing Knowledge DomainsKaty Börner, Chaomei Chen, Kevin W Boyack, RW Hamming References from web pagesData Mining: Concepts and Techniques Data Mining: Concepts and Techniques — Slides for Textbook ... CSE 544 Data Mining Concepts and Techniques Data Mining: Concepts and Techniques Data Mining: Concepts and Techniques — Slides for Textbook ... Data Mining: Concepts and Techniques — Chapter 4 — citeulike: Data Mining: Concepts and Techniques (The Morgan ... Data Mining: Concepts and Techniques — Chapter 1 ... Course Offer for 2000-2001 Spring Semester Data Mining: Concepts and Techniques — Slides for Textbook ... Bibliographic information
|
