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APIN
2005
107views more  APIN 2005»
15 years 2 months ago
Multi-Instance Learning Based Web Mining
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, ...
Zhi-Hua Zhou, Kai Jiang, Ming Li
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
15 years 8 months ago
Dimension Reduction for Supervised Ordering
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results and best-seller lists. Techniques for processing such ordinal d...
Toshihiro Kamishima, Shotaro Akaho
116
Voted
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
15 years 8 months ago
Pruning Social Networks Using Structural Properties and Descriptive Attributes
Scale is often an issue with understanding and making sense of large social networks. Here we investigate methods for pruning social networks by determining the most relevant rela...
Lisa Singh, Lise Getoor, Louis Licamele
KDD
2003
ACM
155views Data Mining» more  KDD 2003»
16 years 2 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook
SDM
2011
SIAM
230views Data Mining» more  SDM 2011»
14 years 5 months ago
Multidimensional Association Rules in Boolean Tensors
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, J...