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PAKDD
2007
ACM
137views Data Mining» more  PAKDD 2007»
15 years 11 months ago
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data
Abstract. Contrast set mining aims at finding differences between different groups. This paper shows that a contrast set mining task can be transformed to a subgroup discovery ta...
Petra Kralj, Nada Lavrac, Dragan Gamberger, Antoni...
GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
15 years 11 months ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 6 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
SDM
2003
SIAM
174views Data Mining» more  SDM 2003»
15 years 7 months ago
STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data
In this paper, we focus on mining periodic patterns allowing some degree of imperfection in the form of random replacement from a perfect periodic pattern. In InfoMiner+, we propo...
Jiong Yang, Wei Wang 0010, Philip S. Yu
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 6 months ago
Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
Rhonda Chaytor