The Handbook Of Data Mining_Nong Ye. 8.83MB, 689 pages.

Contents:

I: METHODOLOGIES OF DATA MINING

1 Decision Trees

2 Association Rules

3 Artificial Neural Network Models for Data Mining

4 Statistical Analysis of Normal and Abnormal Data

5 Bayesian Data Analysis

6 Hidden Markov Processes and Sequential Pattern Mining

7 Strategies and Methods for Prediction

8 Principal Components and Factor Analysis

9 Psychometric Methods of Latent Variable Modeling

10 Scalable Clustering

11 Time Series Similarity and Indexing

12 Nonlinear Time Series Analysis

13 Distributed Data Mining

II: MANAGEMENT OF DATA MINING

14 Data Collection, Preparation, Quality, and Visualization

15 Data Storage and Management

16 Feature Extraction, Selection, and Construction

17 Performance Analysis and Evaluation

18 Security and Privacy

19 Emerging Standards and Interfaces

III: APPLICATIONS OF DATA MINING

20 Mining Human Performance Data

21 Mining Text Data

22 Mining Geospatial Data

23 Mining Science and Engineering Data

24 Mining Data in Bioinformatics

25 Mining Customer Relationship Management (CRM) Data

26 Mining Computer and Network Security Data

27 Mining Image Data

28 Mining Manufacturing Quality Data

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