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» Evaluating role mining algorithms
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103
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DEXA
2004
Springer
153views Database» more  DEXA 2004»
15 years 6 months ago
A New Approach of Eliminating Redundant Association Rules
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
74
Voted
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
15 years 6 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
16 years 1 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
91
Voted
DAWAK
2007
Springer
15 years 7 months ago
Domination Mining and Querying
Abstract. Pareto dominance plays an important role in diverse application domains such as economics and e-commerce, and it is widely being used in multicriteria decision making. In...
Apostolos N. Papadopoulos, Apostolos Lyritsis, Ale...
119
Voted
BMCBI
2008
135views more  BMCBI 2008»
15 years 26 days ago
Inferring the role of transcription factors in regulatory networks
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...