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期刊名称：WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY ISSN： 1942-4787 出版频率： Bi-monthly 出版社： WILEY PERIODICALS, INC, ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, USA, CA, 94104   出版社网址： http://onlinelibrary.wiley.com/ 期刊网址： http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1942-4795 影响因子： 7.25 主题范畴： COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;    COMPUTER SCIENCE, THEORY & METHODS 期刊简介(About the journal)    编辑部信息(Editorial Board)    About the journal Aims and Scope The objectives of WIREs DMKD are to (a) present the current state of the art of data mining and knowledge discovery through an ongoing series of reviews written by leading researchers, (b) capture the crucial interdisciplinary flavor of the field by including articles that address the key topics from the differing perspectives of data mining and knowledge discovery, including a variety of application areas in technology, business, healthcare, education, government and society and culture, (c) capture the rapid development of data mining and knowledge discovery through a systematic program of content updates, and (d) encourage active participation in this field by presenting its achievements and challenges in an accessible way to a broad audience. The content of WIREs DMKD will be useful to upper-level undergraduate and postgraduate students, to teaching and research professors in academic programs, and to scientists and research managers in industry. The techniques of data mining and knowledge discovery (DMKD) are now being applied in many areas of business and government, such as banking and finance, market research, risk analysis, and counterterrorism. In the sciences, DMKD has become pervasive in such fields as bioinformatics, medical diagnosis, epidemiology, drug discovery, environmental modeling, and meteorological data analysis. Abstracting and Indexing Information Current Contents: Engineering, Computing & Technology (Thomson Reuters) Science Citation Index Expanded (Thomson Reuters) SCOPUS (Elsevier) The DBLP Computer Science Bibliography (University of Trier) Web of Science (Thomson Reuters) Editorial Board Editor in Chief Witold Pedrycz, University of Alberta Editorial Board Andrzej Cichocki, Riken, Japan Oscar Cordon, European Centre for Soft Computing Frank Hoffmann, University of Dortmund Mehmed Kantardzic, University of Louisville Rudolf Kruse, University of Magdeburg Sushmita Mitra, Indian Statistical Institute