Applications of Data Mining in E-Business and Finance.

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.

MoreLess

Year of publication:	2008
Authors:	Soares, C
Other Persons:	Peng, Y (contributor) ; Meng, J (contributor) ; Washio, Takashi (contributor) ; Zhou, Zhi-Hua (contributor)
Publisher:	Amsterdam : IOS Press
Subject:	Data Mining \| Data mining \| Electronic Commerce \| E-commerce
Description of contents:	Table of Contents [gbv.de]

Extent:	1 online resource (156 pages)
Series:	Frontiers in Artificial Intelligence and Applications, v. 177 ; v.v. 177 Frontiers in artificial intelligence and applications ; vol. 177 Frontiers in Artificial Intelligence and Applications Ser. ; v.177
Conferences:	Pacific-Asia Conference on Knowledge Discovery and Data Mining ; (Nanjing, China) : 2007
Type of publication:	Book / Working Paper
Language:	English
Notes:	Description based on publisher supplied metadata and other sources. 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 Comparing Negotiation Strategies Based on OffersTowards Business Interestingness in Actionable Knowledge Discovery; A Deterministic Crowding Evolutionary Algorithm for Optimization of a KNN-Based Anomaly Intrusion Detection System; Analysis of Foreign Direct Investment and Economic Development in the Yangtze Delta and Its Squeezing-in and out Effect; Sequence Mining for Business Analytics: Building Project Taxonomies for Resource Demand Forecasting; Author Index
ISBN:	978-1-60750-354-5 ; 978-1-58603-890-8 ; 1-58603-890-7 ; 978-1-58603-890-8
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012685053