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» Mining for Useful Association Rules Using the ATMS
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TKDE
2010
164views more  TKDE 2010»
13 years 6 months ago
Defeasible Contextual Reasoning with Arguments in Ambient Intelligence
Abstract—The imperfect nature of context in Ambient Intelligence environments and the special characteristics of the entities that possess and share the available context informa...
Antonis Bikakis, Grigoris Antoniou
CORR
2010
Springer
74views Education» more  CORR 2010»
13 years 7 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
ISCI
2007
122views more  ISCI 2007»
13 years 7 months ago
On the strength of hyperclique patterns for text categorization
The use of association patterns for text categorization has attracted great interest and a variety of useful methods have been developed. However, the key characteristics of patte...
Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen
ICCV
2005
IEEE
14 years 9 months ago
Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar
In this paper, we present an attribute graph grammar for image parsing on scenes with man-made objects, such as buildings, hallways, kitchens, and living rooms. We choose one clas...
Feng Han, Song Chun Zhu
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
13 years 9 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan