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» Mining Frequent Itemsets Using Genetic Algorithm
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APCHI
2004
IEEE
15 years 1 months ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley
SAC
2010
ACM
15 years 4 months ago
Background knowledge in formal concept analysis: constraints via closure operators
The aim of this short paper is to present a general method of using background knowledge to impose constraints in conceptual clustering of object-attribute relational data. The pr...
Radim Belohlávek, Vilém Vychodil
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 3 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
KDD
1998
ACM
105views Data Mining» more  KDD 1998»
15 years 2 months ago
PlanMine: Sequence Mining for Plan Failures
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because ...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
DATESO
2008
156views Database» more  DATESO 2008»
14 years 11 months ago
Developing Genetic Algorithms for Boolean Matrix Factorization
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
Václav Snásel, Jan Platos, Pavel Kr&...