Quotation 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.


RIS


BibTeX

Tags

Press 'enter' for creating the tag

Publication's profile

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
Service Marketing and Tourism IN (Details)
Applied Information Technology with Focus on IT in Organization (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)
Google Scholar: Search