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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 6 months ago
Turning CARTwheels: an alternating algorithm for mining redescriptions
We present an unusual algorithm involving classification trees-CARTwheels--where two trees are grown in opposite directions so that they are joined at their leaves. This approach ...
Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malco...
CCGRID
2010
IEEE
13 years 6 months ago
A Map-Reduce System with an Alternate API for Multi-core Environments
Map-reduce framework has received a significant attention and is being used for programming both large-scale clusters and multi-core systems. While the high productivity aspect of ...
Wei Jiang, Vignesh T. Ravi, Gagan Agrawal
ICDM
2003
IEEE
123views Data Mining» more  ICDM 2003»
13 years 11 months ago
Complex Spatial Relationships
This paper describes the need for mining complex relationships in spatial data. Complex relationships are defined as those involving two or more of: multi-feature co-location, sel...
Robert Munro, Sanjay Chawla, Pei Sun
VLDB
1994
ACM
140views Database» more  VLDB 1994»
13 years 9 months ago
Efficient and Effective Clustering Methods for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...
Raymond T. Ng, Jiawei Han
TMM
2002
104views more  TMM 2002»
13 years 5 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...