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» Evaluation Methods for Web Application Clustering
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MSV
2004
13 years 9 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly
ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
14 years 1 months ago
Merging Interface Schemas on the Deep Web via Clustering Aggregation
We consider the problem of integrating a large number of interface schemas over the Deep Web, The scale of the problem and the diversity of the sources present serious challenges ...
Wensheng Wu, AnHai Doan, Clement T. Yu
ISCC
2007
IEEE
211views Communications» more  ISCC 2007»
14 years 1 months ago
High Performance Java Remote Method Invocation for Parallel Computing on Clusters
This paper presents a more efficient Java Remote Method Invocation (RMI) implementation for high-speed clusters. The use of Java for parallel programming on clusters is limited b...
Guillermo L. Taboada, Carlos Teijeiro, Juan Touri&...
KDD
2002
ACM
191views Data Mining» more  KDD 2002»
14 years 8 months ago
Multimedia Knowledge Integration, Summarization And Evaluation
This paper presents new methods for automatically integrating, summarizing and evaluating multimedia knowledge. These are essential for multimedia applications to efficiently and ...
Ana B. Benitez, Shih-Fu Chang
ECIR
2006
Springer
13 years 9 months ago
Automatic Document Organization in a P2P Environment
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Stefan Siersdorfer, Sergej Sizov