Distribution rules with numeric attributes of interest

• Type: Article in International Scientific Journal
• Date: 2006

Authors

Alipio M Jorge (Author) FEP; Paulo J Azevedo (Author) Other; Fernando Pereira (Author) Other

Journal

Title: Lecture Notes in Computer Science

Vol. 47

Pages: 247-258

ISSN: 0302-9743

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 16 Citations

Scopus - 20 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-004-Q7Z

DOI: 10.1007/11871637_26

Abstract (EN): In this paper we introduce distribution rules, a kind of association rules with a distribution on the consequent. Distribution rules are related to quantitative association rules but can be seen as a more fundamental concept, useful for learning distributions. We formalize the main concepts and indicate applications to tasks such as frequent pattern discovery, sub group discovery and forecasting. An efficient algorithm for the generation of distribution rules is described. We also provide interest measures, visualization techniques and evaluation.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12