Sequence Data Mining (Advances in Database Systems) by GuozhuDong, JianPei Hardcover, 150 Pages, Published 2007 by Springer ISBN-13: 978-0-387-69936-3, ISBN: 0-387-69936-8
"Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data minin ..."
"This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are patterns that match significantly different numbers of instances in different data groups. A large number of applications outside ..."
"Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature eng ..."
Contrast Data Mining Concepts, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by GuozhuDong, James Bailey, Jinyan Li, Dr James Bailey Hardcover, 434 Pages, Published 2012 by Chapman And Hall/Crc ISBN-13: 978-1-4398-5432-7, ISBN: 1-4398-5432-7
"A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining, ..."
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