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» Toward knowledge-rich data mining
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102
Voted
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
16 years 2 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...
120
Voted
ADMI
2009
Springer
15 years 9 months ago
Towards Cooperative Predictive Data Mining in Competitive Environments
Abstract. We study the problem of predictive data mining in the competitive multi-agent setting, in which each agent is assumed to have some partial knowledge needed for correctly ...
Viliam Lisý, Michal Jakob, Petr Benda, Step...
137
Voted
KDD
1999
ACM
128views Data Mining» more  KDD 1999»
15 years 6 months ago
Towards Automated Synthesis of Data Mining Programs
Code synthesis is routinely used in industry to generate GUIs, form lling applications, and database support code and is even used with COBOL. In this paper we consider the questi...
Wray L. Buntine, Bernd Fischer 0002, Thomas Pressb...
104
Voted
PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
15 years 8 months ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...
KDD
2003
ACM
130views Data Mining» more  KDD 2003»
16 years 2 months ago
Towards systematic design of distance functions for data mining applications
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
Charu C. Aggarwal