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Association Rule Mining
Models and Algorithms
Chengqi Zhang, Shichao Zhang
Livre broché | Anglais | Lecture Notes in Computer Science | Lecture Notes in Artificial Intelligence | n° 2307
53,45 €
+ 106 points
Description
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 244
- Langue:
- Anglais
- Collection :
- Tome:
- n° 2307
Caractéristiques
- EAN:
- 9783540435334
- Date de parution :
- 10-04-02
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 162 mm x 237 mm
- Poids :
- 394 g
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