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PKDD
2007
Springer
146views Data Mining» more  PKDD 2007»
15 years 5 months ago
A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions
This paper presents a novel method for multi-relational classification via an aggregation-based Inductive Logic Programming (ILP) approach. We extend the classical ILP representati...
Richard Frank, Flavia Moser, Martin Ester
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 3 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
CINQ
2004
Springer
125views Database» more  CINQ 2004»
15 years 5 months ago
Deducing Bounds on the Support of Itemsets
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
Toon Calders
KES
2004
Springer
15 years 5 months ago
FIT: A Fast Algorithm for Discovering Frequent Itemsets in Large Databases
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...
Jun Luo, Sanguthevar Rajasekaran
ASE
2011
14 years 3 months ago
Alattin: mining alternative patterns for defect detection
Abstract To improve software quality, static or dynamic defect-detection tools accept programming rules as input and detect their violations in software as defects. As these progra...
Suresh Thummalapenta, Tao Xie