有点过分,文不对题!建议以后把介绍放在收费内容之外
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为了继续对新开放的数据挖掘专栏贡献一点力量,本人将自己读过的一本超详细,很经典的数据挖掘技术丛书:
《THE HANDBOOK OF DATA MINING》分享给大家。
不过仍然要收5元来限流。哈哈!
内容:
Part 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.
7 Strategies and Methods for Prediction. 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.
Part 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.
Part 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