Chapter 2: Overview of Data Mining
Chapter in the book
Publisher:Mercury Learning and Information
By: Ronald S. King
Paid access
|May 2015
Table of contents
Frontmatter
CONTENTS
Preface
Chapter 1: Introduction to Cluster Analysis
Chapter 2: Overview of Data Mining
Chapter 3: Hierarchical Clustering
Chapter 4: Partition Clustering
Chapter 5: Judgmental Analysis
Chapter 6: Fuzzy Clustering Models and Applications
Chapter 7: Classification and Association Rules
Chapter 8: Cluster Validity
Chapter 9: Clustering Categorical Data
Chapter 10: Mining Outliers
Chapter 11: Model-based Clustering
Chapter 12: General Issues
INDEX
16 chapters available
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PDF ISBN: 978-1-938549-39-7 | E-Pub ISBN: 978-1-942270-13-3 | Paperback ISBN: 978-1-938549-38-0 | DOI: 10.1515/9781938549397
Publisher: Mercury Learning and Information
Copyright owner: © 2014 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2015
Language: English
Pages: 300
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