Skip to Content
Practical Applications of Data Mining
book

Practical Applications of Data Mining

by Sang C. Suh
January 2011
Intermediate to advanced
420 pages
12h 32m
English
Jones & Bartlett Learning
Content preview from Practical Applications of Data Mining
Contents
Preface xi
Foreword by Murat M. Tanik xvii
Foreword by John Kocur xix
Chapter 1 Introduction to Data Mining 1
1.1 Traditional Database Management Systems 1
1.2 Knowledge Discovery in Databases 3
1.2.1 Pre-Processing 5
1.2.2 Data Warehousing 6
1.2.3 Post-Processing 6
1.3 Data-Mining Methods 6
1.3.1 Association Rules 7
1.3.2 Classification Learning 8
1.3.3 Statistical Data Mining 10
1.3.4 Rough Sets for Data Mining 11
1.3.5 Neural Networks for Data Mining 12
1.3.6 Clustering for Data Mining 14
1.3.7 Fuzzy Sets for Data Mining 16
1.4 Integrated Framework for Intelligent Databases 17
1.5 Practical ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Mining

Data Mining

Nong Ye
Data Mining and Machine Learning Applications

Data Mining and Machine Learning Applications

Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi
R Data Mining

R Data Mining

Enrico Pegoraro, Andrea Cirillo

Publisher Resources

ISBN: 9780763785871