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» Defining the Goals to Optimise Data Mining Performance
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KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 8 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
PKDD
1998
Springer
273views Data Mining» more  PKDD 1998»
13 years 12 months ago
TextVis: An Integrated Visual Environment for Text Mining
TextVis is a visual data mining system for document collections. Such a collection represents an application domain, and the primary goal of the system is to derive patterns that p...
David Landau, Ronen Feldman, Yonatan Aumann, Moshe...
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
13 years 11 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...
PATAT
2000
Springer
123views Education» more  PATAT 2000»
13 years 11 months ago
A Multicriteria Approach to Examination Timetabling
The main aim of this paper is to consider university examination timetabling problems as multicriteria decision problems. A new multicriteria approach to solving such problems is p...
Edmund K. Burke, Yuri Bykov, Sanja Petrovic
BDA
2004
13 years 9 months ago
A new way of optimizing OLAP queries
For around 10 years, the academic research in database has attempted to define a commonly agreed logical modeling for the multidimensional and hierarchical nature of data manipulat...
Arnaud Giacometti, Dominique Laurent, Patrick Marc...