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ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
14 years 3 months ago
Clustering with Multiple Graphs
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
ICMCS
2006
IEEE
344views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Pattern Mining in Visual Concept Streams
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
Lexing Xie, Shih-Fu Chang
MLG
2007
Springer
14 years 3 months ago
Graphs, Hypergraphs, and Inductive Logic Programming
Abstract. There are many connections between graph mining and inductive logic programming (ILP), or more generally relational learning. Up till now these connections have mostly be...
Hendrik Blockeel, Tijn Witsenburg, Joost N. Kok
IADIS
2008
13 years 10 months ago
Data Mining In Non-Stationary Multidimensional Time Series Using A Rule Similarity Measure
Time series analysis is a wide area of knowledge that studies processes in their evolution. The classical research in the area tends to find global laws underlying the behaviour o...
Nikolay V. Filipenkov
DEXAW
2009
IEEE
131views Database» more  DEXAW 2009»
14 years 3 months ago
Clustering of Short Strings in Large Databases
—A novel method CLOSS intended for textual databases is proposed. It successfully identifies misspelled string clusters, even if the cluster border is not prominent. The method ...
Michail Kazimianec, Arturas Mazeika