Hahsler, Michael, Hornik, Kurt, Reutterer, Thomas. 2006. Implications of probabilistic data modeling for mining association rules. In From Data and Information Analysis to Knowledge Engineering, Studies in Classification, Data Analysis, and Knowledge Organization, Hrsg. M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nürnberger, and W. Gaul, 598-605. Berlin: Springer.
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| Status of publication | Published |
|---|---|
| Affiliation | WU |
| Type of publication | Contribution to conference proceedings |
| Title | Implications of probabilistic data modeling for mining association rules |
| Title of whole publication | From Data and Information Analysis to Knowledge Engineering, Studies in Classification, Data Analysis, and Knowledge Organization |
| Editor | M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nürnberger, and W. Gaul |
| Page from | 598 |
| Page to | 605 |
| Location | Berlin |
| Publisher | Springer |
| Year | 2006 |
| ISBN | 3-540-31313-3 |
Associations
- Projects
- A computational environment for mining association rules and frequent item sets in R
- People
- Hahsler, Michael (Former researcher)
- Hornik, Kurt (Details)
- Reutterer, Thomas (Details)
- Organization
- Institute for Marketing and Customer Analytics IN (Details)
- Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
- Retailing
(Former organization)
- Mathematical Methods in Statistics (Former organization)
- Research areas (ÖSTAT Classification 'Statistik Austria')
- 1109 Information and data processing (Details)
- 5320 Marketing (Details)