Data Mining - A Tutorial-Based Primer, Second Edition (Paperback, 2nd edition)

Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Fundamental data mining strategies, techniques, and evaluation methods are presented and implemented with the help of two well-known software tools. Several new topics have been added to the second edition including an introduction to Big Data and data analytics, ROC curves, Pareto lift charts, methods for handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition contains tutorials for attribute selection, dealing with imbalanced data, outlier analysis, time series analysis, mining textual data, and more. The text provides in-depth coverage of RapidMiner Studio and Weka's Explorer interface. Both software tools are used for stepping students through the tutorials depicting the knowledge discovery process. This allows the reader maximum flexibility for their hands-on data mining experience.

General

Imprint:	Productivity Press
Country of origin:	United States
Series:	Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Release date:	December 2016
First published:	2017
Authors:	Richard J. Roiger
Dimensions:	254 x 178 x 30mm (L x W x T)
Format:	Paperback
Pages:	487
Edition:	2nd edition
ISBN-13:	978-1-4987-6397-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	1-4987-6397-9
Barcode:	9781498763974

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