Publication detail

Mining Quantitative Association Rules in Large Relation Tables

JURKA, P.

Original Title

Mining Quantitative Association Rules in Large Relation Tables

Type

conference paper

Language

English

Original Abstract

This work is engaged in a technique for association rule mining from relational databases, which are nowadays the most common ones for data storage. The described method works with quantitative attributes as well as with categorical data.

Keywords

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

Authors

JURKA, P.

RIV year

2006

Released

25. 6. 2006

Location

Ostrava

ISBN

80-86840-06-9

Book

NETSS 2006

Pages from

11

Pages to

14

Pages count

4

BibTex

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