Relational Association Rules: getting WARMeR

06/15/2002
by   Bart Goethals, et al.
0

In recent years, the problem of association rule mining in transactional data has been well studied. We propose to extend the discovery of classical association rules to the discovery of association rules of conjunctive queries in arbitrary relational data, inspired by the WARMR algorithm, developed by Dehaspe and Toivonen, that discovers association rules over a limited set of conjunctive queries. Conjunctive query evaluation in relational databases is well understood, but still poses some great challenges when approached from a discovery viewpoint in which patterns are generated and evaluated with respect to some well defined search space and pruning operators.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/19/2018

Itemsets of interest for negative association rules

So far, most of association rule minings have considered about positive ...
research
12/03/2010

Closed-set-based Discovery of Bases of Association Rules

The output of an association rule miner is often huge in practice. This ...
research
10/14/2021

Ethics lines and Machine learning: a design and simulation of an Association Rules Algorithm for exploiting the data

Data mining techniques offer great opportunities for developing ethics l...
research
09/28/2017

SCARF: A Biomedical Association Rule Finding Webserver

The analysis of enormous datasets with missing data entries is a standar...
research
11/01/2019

Contributions to the Formalization and Extraction of Generic Bases of Association Rules

In this thesis, a detailed study shows that closed itemsets and minimal ...
research
11/28/2017

Quantitative CBA: Small and Comprehensible Association Rule Classification Models

Quantitative CBA is a postprocessing algorithm for association rule clas...
research
02/24/2012

Classification approach based on association rules mining for unbalanced data

This paper deals with the binary classification task when the target cla...

Please sign up or login with your details

Forgot password? Click here to reset