Association rule mining : models and algorithms
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,...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| シリーズ: | Lecture notes in computer science. Lecture notes in artificial intelligence
2307 |
| 主題: | |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Association rule mining, models and algorithms, Chengqi Zhang, Shichao Zhang, Berlin, Springer, 2002, 1 vol. (XII-238 p.), Lecture notes in computer science, 3-540-43533-6 • Association Rule Mining, Texte imprimé, 9783662165751 |
目次:
- Association Rule
- Negative Association Rule
- Causality in Databases
- Causal Rule Analysis
- Association Rules in Very Large Databases
- Association Rules in Small Databases
- Conclusion and Future Work.