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Author
Zaki, Mohammed, author.
Title
Data Mining and Analysis [electronic resource] / Zaki, Mohammed.
Publication Info
Cambridge University Press, 2014.
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Phys. Description1 online resource (624 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file
52.00
SummaryThe fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods, high-dimensional data analysis, and complex graphs and networks. With its comprehensive coverage, algorithmic perspective, and wealth of examples, this book offers solid guidance in data mining for students, researchers, and practitioners alike. Key features: • Covers both core methods and cutting-edge research • Algorithmic approach with open-source implementations • Minimal prerequisites: all key mathematical concepts are presented, as is the intuition behind the formulas • Short, self-contained chapters with class-tested examples and exercises allow for flexibility in designing a course and for easy reference • Supplementary website with lecture slides, videos, project ideas, and more.
ReproductionElectronic reproduction. Boston, MA : Safari, Available via World Wide Web. 2014.
System DetMode of access: World Wide Web.
NoteCopyright © 2014 Cambridge University Press 2014
Issued ByMade available through: Safari, an O'Reilly Media Company.
NoteOnline resource; Title from title page (viewed February 28, 2014)
GenreElectronic books. local
Alt AuthorMeira, Wagner, author.
Safari, an O'Reilly Media Company.
ISBN9781107779105
9780521766333
Isbn/Issn9781107779105
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