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» A probabilistic framework for relational clustering
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CORR
2011
Springer
197views Education» more  CORR 2011»
14 years 9 months ago
Query Expansion Based on Clustered Results
Query expansion is a functionality of search engines that suggests a set of related queries for a user-issued keyword query. Typical corpus-driven keyword query expansion approach...
Ziyang Liu, Sivaramakrishnan Natarajan, Yi Chen
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 10 days ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 2 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
ICAS
2005
IEEE
155views Robotics» more  ICAS 2005»
15 years 7 months ago
Analyzing the Impact of Components Replication in High Available J2EE Clusters
Clustering is a well known technique that allows scalability and fault tolerance in distributed systems. In the J2EE framework, clustering can be used to improve the performance a...
Davide Rossi, Elisa Turrini
WISE
2002
Springer
15 years 6 months ago
Cluster-Based Delta Compression of a Collection of Files
Delta compression techniques are commonly used to succinctly represent an updated version of a file with respect to an earlier one. In this paper, we study the use of delta compr...
Zan Ouyang, Nasir D. Memon, Torsten Suel, Dimitre ...