[下载]数据挖掘技术手册

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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

211407.pdf (8.83 MB)

2008-5-9 05:51:00 上传

[下载]数据挖掘技术手册

[此贴子已经被作者于2008-5-9 19:32:52编辑过]

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关键词：数据挖掘技术 数据挖掘 技术手册 Construction Applications 下载 数据 挖掘 技术手册

没介绍的么？

https://bbs.pinggu.org/thread-116844-1-1.html

免费的

以下是引用bookbug在2008-5-9 6:54:00的发言：

https://bbs.pinggu.org/thread-116844-1-1.html

免费的

原来有免费的啊，不知道跟我的内容是不是一样，郁闷，可我是从其他地方下载下来的哦。

早知道免费，就不下了。本来就没几外钱

有点过分，文不对题！建议以后把介绍放在收费内容之外

*************************

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

谢谢

多谢。。。。。。。。。。。

.

Thank you very much!