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» Graph Mining based on a Data Partitioning Approach
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154
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WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
15 years 10 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
KDD
1997
ACM
130views Data Mining» more  KDD 1997»
15 years 7 months ago
Process-Based Database Support for the Early Indicator Method
In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspectsof the fault profile of a set of car...
Christoph Breitner, Jörg Schlösser, R&uu...
130
Voted
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
15 years 9 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
PKDD
2009
Springer
117views Data Mining» more  PKDD 2009»
15 years 10 months ago
New Regularized Algorithms for Transductive Learning
Abstract. We propose a new graph-based label propagation algorithm for transductive learning. Each example is associated with a vertex in an undirected graph and a weighted edge be...
Partha Pratim Talukdar, Koby Crammer
194
Voted
DASFAA
2010
IEEE
425views Database» more  DASFAA 2010»
15 years 7 months ago
FlexTable: Using a Dynamic Relation Model to Store RDF Data
Efficient management of RDF data is an important factor in realizing the Semantic Web vision. The existing approaches store RDF data based on triples instead of a relation model. I...
Yan Wang, Xiaoyong Du, Jiaheng Lu, Xiaofang Wang