Quality Measures in Data Mining

Name: Quality Measures in Data Mining
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540449119
Price: 63361 HUF
Availability: InStock

Szerző: Fabrice Guillet, Howard J. Hamilton

Nyelv:

Kötés: Kemény kötésű

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

Elérhetőség: Beszállítói készleten

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Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typica...

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Szerző

Fabrice Guillet, Howard J. Hamilton

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2007

oldal

314

EAN

9783540449119

ISBN

3540449116

Enbook ID

01564773

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

1400

Méretek

155 x 235 x 25

Teljes leírás

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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Quality Measures in Data Mining

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