Data Mining & Machine Learning
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Music Data Mining
Editor(s): Tao Li, Florida International University, Miami, USA; Mitsunori Ogihara, University of Miami, Florida; George Tzanetakis, University of Victoria, British Columbia, Canada
The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers,...
Catalog no. K11597, July 2011, 384 pp., ISBN:
A First Course in Machine Learning
Simon Rogers, University of Glasgow, Scotland; Mark Girolami
Offering a complete introduction to the fundamental concepts underlying machine learning theory, this text presents modern methods and mathematical foundations needed to enable further study. The text requires minimal mathematical prerequisites, making it appropriate for students who are new to the...
Catalog no. K11175, Nov. 2011, 320 pp., ISBN: 9781439824146,
Machine Learning and Knowledge Discovery for Engineering Systems Health Management
Editor(s): Ashok N. Srivastava, NASA Ames Research Center, Moffett Field, California, USA; Jiawei Han, University of Illinois at Urbana-Champaign, USA
Systems health is a broad multidisciplinary field of study that generates huge amounts of data and thus is an extremely appropriate forum in which to utilize machine learning and knowledge discovery techniques. This book explores the use of machine learning and knowledge discovery in systems health...
Catalog no. K11944, Nov. 2011, 400 pp., ISBN: 9781439841785,
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