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ANOR
2010
135views more  ANOR 2010»
13 years 8 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
ICDM
2010
IEEE
117views Data Mining» more  ICDM 2010»
13 years 6 months ago
Node Similarities from Spreading Activation
In this paper we propose two methods to derive two different kinds of node similarities in a network based on their neighborhood. The first similarity measure focuses on the overla...
Kilian Thiel, Michael R. Berthold
SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
13 years 9 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
JUCS
2008
125views more  JUCS 2008»
13 years 8 months ago
Improving AEH Courses through Log Analysis
: Authoring in adaptive educational hypermedia environment is complex activity. In order to promote a wider application of this technology, the teachers and course designers need s...
César Vialardi Sacín, Javier Bravo, ...
IKE
2007
13 years 10 months ago
Spatial and Temporal Target Association through Semantic Analysis and GPS Data Mining
- We present an application for analyzing temporal and spatial interaction in an Association Network environment based on integrating Global Positioning Systems (GPS) Data, RDF Met...
David Luper, Delroy Cameron, John Miller, Hamid R....