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  3. Sandsynlighedsregning og statistik

Data Mining

- A Tutorial-Based Primer, Second Edition
Af: Richard J. Roiger Engelsk Paperback

Data Mining

- A Tutorial-Based Primer, Second Edition
Af: Richard J. Roiger Engelsk Paperback
Tjek vores konkurrenters priser

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.

 

 

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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.

 

 

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Produktdetaljer
Sprog: Engelsk
Sider: 530
ISBN-13: 9781498763974
Indbinding: Paperback
Udgave: 2
ISBN-10: 1498763979
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 1 dec 2016
Længde: 30mm
Bredde: 254mm
Højde: 179mm
Forlag: Taylor & Francis Inc
Oplagsdato: 1 dec 2016
Forfatter(e): Richard J. Roiger
Forfatter(e) Richard J. Roiger

Kategori Sandsynlighedsregning og statistik

ISBN-13 9781498763974

Sprog Engelsk

Indbinding Paperback

Sider 530

Udgave 2

Længde 30mm

Bredde 254mm

Højde 179mm

Udg. Dato 1 dec 2016

Oplagsdato 1 dec 2016

Forlag Taylor & Francis Inc

Kategori sammenhænge