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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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[此贴子已经被作者于2006-11-11 20:13:29编辑过]
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