Result Details

Mining Quantitative Association Rules in Large Relation Tables

JURKA, P. Mining Quantitative Association Rules in Large Relation Tables. NETSS 2006. Ostrava: Marq software s.r.o., 2006. p. 11-14. ISBN: 80-86840-06-9.

Type

conference paper

Language

English

Authors

Jurka Pavel, Ing., FP-D-SO (FBM), DITS (FIT)

Abstract

This work is engaged in a technique forassociation rule mining from relational databases, which are nowadays the mostcommon ones for data storage. The described method works with quantitativeattributes as well as with categorical data.

Keywords

datamining, association rules, quantitative and categorical attributes, apriori algorithm

Published

2006

Pages

11–14

Proceedings

NETSS 2006

Conference

NETSS2006 - New Trends in System Simulation

ISBN

80-86840-06-9

Publisher

Marq software s.r.o.

Place

Ostrava

BibTeX

@inproceedings{BUT22398,
  author="Pavel {Jurka}",
  title="Mining Quantitative Association Rules in Large Relation Tables",
  booktitle="NETSS 2006",
  year="2006",
  pages="11--14",
  publisher="Marq software s.r.o.",
  address="Ostrava",
  isbn="80-86840-06-9"
}

Projects

Specifický výzkum, BUT, Vnitřní projekty VUT, SV, start: 2005-01-01, end: 2009-12-31, completed

Research groups

Intelligent Systems Research Group (RG INTSYS)

Departments

Department of Intelligent Systems (DITS)