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Viac informácií o knihe Quality Measures in Data Mining

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Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Books in English Computing & information technology Databases Data capture & analysis

• Celý názov: Quality Measures in Data Mining
• Autor: Fabrice Guillet, Howard J. Hamilton
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 314
• EAN: 9783540449119
• ISBN: 3540449116
• ID: 01564773
• Nakladateľ: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Hmotnosť: 1400 g
• Rozmery: 235 × 155 × 25 mm
• Dátum vydania: 08. January 2007

Obľúbené z iného súdka

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