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Applications of data mining in e-business and finance [electronic resource] / edited by Carlos Soares ... [et al.].

Contributor(s): Soares, Carlos | Data Mining for Business Workshop (2007 : Nanjing Shi, China) | Pacific-Asia Conference on Knowledge Discovery and Data Mining (11th : 2007 : Nanjing, Shi, China).
Material type: TextTextSeries: Frontiers in artificial intelligence and applications: v. 177.Publisher: Amsterdam ; Washington, DC : IOS Press, c2008Description: 1 online resource (1 v.).ISBN: 9781435678200 (electronic bk.); 1435678206 (electronic bk.); 9781597344760 (electronic bk); 1597344761 (electronic bk); 9781607503545; 1607503549.Subject(s): Data mining -- Congresses | Electronic commerce -- Congresses | COMPUTERS -- Database Management -- Data MiningGenre/Form: Electronic books.Additional physical formats: Print version:: Applications of data mining in e-business and finance.DDC classification: 006.3/12 Online resources: EBSCOhost
Contents:
Title page; Preface; Program Committee; Contents; Applications of Data Mining in E-Business and Finance: Introduction; Evolutionary Optimization of Trading Strategies; An Analysis of Support Vector Machines for Credit Risk Modeling; Applications of Data Mining Methods in the Evaluation of Client Credibility; A Tripartite Scorecard for the Pay/No Pay Decision-Making in the Retail Banking Industry; An Apriori Based Approach to Improve On-Line Advertising Performance; Probabilistic Latent Semantic Analysis for Search and Mining of Corporate Blogs; A Quantitative Method for RSS Based Applications.
Summary: In spite of the close relationship between research and practice in Data Mining, it is not easy to find information on some of the important issues involved in real world application of DM technology. This book address some of these issues. It is suitable for Data Mining researchers and practitioners.
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Selection of papers from the Data Mining for Business Workshop which was held together with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Nanjing, China.

Includes bibliographical references and index.

Description based on print version record.

Title page; Preface; Program Committee; Contents; Applications of Data Mining in E-Business and Finance: Introduction; Evolutionary Optimization of Trading Strategies; An Analysis of Support Vector Machines for Credit Risk Modeling; Applications of Data Mining Methods in the Evaluation of Client Credibility; A Tripartite Scorecard for the Pay/No Pay Decision-Making in the Retail Banking Industry; An Apriori Based Approach to Improve On-Line Advertising Performance; Probabilistic Latent Semantic Analysis for Search and Mining of Corporate Blogs; A Quantitative Method for RSS Based Applications.

In spite of the close relationship between research and practice in Data Mining, it is not easy to find information on some of the important issues involved in real world application of DM technology. This book address some of these issues. It is suitable for Data Mining researchers and practitioners.

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