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Introduction to data mining /

Tan, Pang-Ning,

Introduction to data mining / Tan, Steinbach, Kumar. - Pearson new international edition. First edition. - Harlow, Essex : Pearson, [2014] - ii, 732 pages : illustrations (black and white) ; 28 cm. - Pearson custom library . - Pearson custom library. .

Includes bibliographical references and index.

1.Introduction. Pang-Ning Tan/Michael Steinbach/Vipin Kumar -- 2.Data. Pang-Ning Tan/Michael Steinbach/Vipin Kumar -- 3.Exploring data. Pang-Ning Tan/Michael Steinbach/Vipin Kumar -- 4.Classification: basic concepts, decision trees, and model evalution. Pang-Ning Tan/Michael Steinbach/Vipin Kumar -- 5.Classification: alternative techniques. Pang-Ning Tan/Michael Steinbach/Vipin Kumar -- 8.Cluster analysis: additional issues and algorithms. Pang-Ning Tan/Michael Steinbach/Vipin Kumar -- 9.Cluster analysis: additonal issues and algorithms. Pang-Ning Tan/Michael Steinbach/Vipin Kumar -- 10. Anomaly detection. Pang-Ning Tan/Michael Steinbach/Vipin Kumar.

'Introduction to Data Mining' presents fundamental concepts and algorithms for those learning data mining. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

9781292026152 (pbk.) : £58.99 9781292026152 (pbk.) : Đ58.99


Data mining.
Computers and IT.
Graphical & digital media applications
Databases
Data mining

QA76.9.D343 / T35 2014

006.312 TAN

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