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Machine Learning and Data Mining
作者： Igor Kononenko; Matjaz (University of Ljubljana Kukar
ISBN13： 9781904275213
类型： 平装(简装书)
出版日期： 2007-04-30
出版社： Elsevier Science & Technology
页数： 480
重量（克）： 708
尺寸： 156 x 235 x 26 mm

商品简介

Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions.
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