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» Mining a Web Citation Database for Document Clustering
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ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
14 years 5 months ago
Finding Cohesive Clusters for Analyzing Knowledge Communities
Documents and authors can be clustered into “knowledge communities” based on the overlap in the papers they cite. We introduce a new clustering algorithm, Streemer, which fin...
Vasileios Kandylas, S. Phineas Upham, Lyle H. Unga...
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
14 years 11 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
ICDM
2002
IEEE
162views Data Mining» more  ICDM 2002»
14 years 3 months ago
Phrase-based Document Similarity Based on an Index Graph Model
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
Khaled M. Hammouda, Mohamed S. Kamel
KDD
2008
ACM
119views Data Mining» more  KDD 2008»
14 years 11 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
13 years 10 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han