Association Rule Mining / Lecture Notes in Computer Science Bd.2307 (PDF)
Models and Algorithms
(Sprache: Englisch)
Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention.
The authors present the recent progress achieved in mining...
The authors present the recent progress achieved in mining...
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Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention.
The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.
The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.
Bibliographische Angaben
- Autoren: Chengqi Zhang , Shichao Zhang
- 2003, 2002, 244 Seiten, Englisch
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3540460276
- ISBN-13: 9783540460275
- Erscheinungsdatum: 01.08.2003
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 3.33 MB
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Sprache:
Englisch
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