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Zaki, Mohammed J., 1971-

Data mining and analysis : fundamental concepts and algorithms / Mohammed J. Zaki, Rensselaer Polytechnic Institute, Troy, New York, Wagner Meira, Jr., Universidade Federal de Minas Gerais, Brazil. - xi, 593 pages : illustrations ; 27 cm

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Includes bibliographical references and index.

Data mining and analysis --
Numeric attributes --
Categorical attributes --
Graph data --
Kernel methods --
High-dimensional data --
Dimensionality reduction --
Itemset mining --
Summarizing itemsets --
Sequence mining --
Graph pattern mining --
Pattern and rule assessment --
Representative-based clustering --
Hierarchical clustering --
Density-based clustering --
Spectral and graph clustering --
Clustering validation --
Probabilistic classification --
Decision tree classifier --
Linear discriminant analysis --
Support vector machines --
Classification assessment.

A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.

ISBN: 9780521766333 (hardback : alk. paper)

LCCN: 2013037544

Subjects--Topical Terms:
Data mining.

LC Class. No.: QA76.9.D343 / Z36 2014

Dewey Class. No.: 006.312 / Z.M.D