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ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
15 years 5 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
15 years 1 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
NEUROSCIENCE
2001
Springer
15 years 4 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
BMCBI
2006
113views more  BMCBI 2006»
14 years 12 months ago
In silico discovery of human natural antisense transcripts
Background: Several high-throughput searches for ppotential natural antisense transcripts (NATs) have been performed recently, but most of the reports were focused on cis type. A ...
Yuan-Yuan Li, Lei Qin, Zong-Ming Guo, Lei Liu, Hao...
AAAI
2012
13 years 2 months ago
A Spin-Glass Model for Semi-Supervised Community Detection
Current modularity-based community detection methods show decreased performance as relational networks become increasingly noisy. These methods also yield a large number of divers...
Eric Eaton, Rachael Mansbach