Quality Measures in Data Mining

Name: Quality Measures in Data Mining
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642079528
Price: 157.99 EUR
Availability: InStock

Автор: Fabrice Guillet, Howard J. Hamilton

Език:

Корици: С меки корици

Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Наличност: Външен склад

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157.99 € 309.01 лв

This book presents recent advances in quality measures in data mining.Data mining analyzes large amo...

Информация за книгата

Автор

Fabrice Guillet, Howard J. Hamilton

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

314

EAN

9783642079528

ISBN

3642079520

Enbook ID

01653035

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

504

Размери

155 x 235 x 17

Пълно описание

This book presents recent advances in quality measures in data mining.Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst. The user is confronted with the task of selecting the pieces of knowledge that are of the highest quality or interest according to his or her preferences. Since this selection is sometimes a daunting task, designing quality and interestingness measures has become an important challenge for data mining researchers in the last decade.§This volume presents the state of the art concerning quality and interestingness measures for data mining. The book summarizes recent developments and presents original research on this topic. The chapters include surveys, comparative studies of existing measures, proposals of new measures, simulations, and case studies. Both theoretical and applied chapters are included. Papers for this book were selected and reviewed for correctness and completeness by an international review committee.

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