Quality Measures in Data Mining

Name: Quality Measures in Data Mining
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642079528
Price: 634.56 PLN
Availability: InStock

Autor: Fabrice Guillet, Howard J. Hamilton

Język:

Oprawa: Miękka

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

Dostępność: Dostępna u dostawcy

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

Informacje o książce

Autor

Fabrice Guillet, Howard J. Hamilton

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2010

strony

314

EAN

9783642079528

ISBN

3642079520

Enbook ID

01653035

Wydawca

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Waga

504

Wymiary

155 x 235 x 17

Pełny opis

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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