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» Classification of Web Documents Using a Graph Model
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SDM
2008
SIAM
119views Data Mining» more  SDM 2008»
13 years 12 months ago
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
Kanishka Bhaduri, Hillol Kargupta
EPEW
2005
Springer
14 years 4 months ago
Hypergraph Partitioning for Faster Parallel PageRank Computation
The PageRank algorithm is used by search engines such as Google to order web pages. It uses an iterative numerical method to compute the maximal eigenvector of a transition matrix ...
Jeremy T. Bradley, Douglas V. de Jager, William J....
ERCIMDL
2009
Springer
225views Education» more  ERCIMDL 2009»
14 years 5 months ago
Demonstration of User Interfaces for Querying in 3D Architectural Content in PROBADO3D
Abstract. The PROBADO project is a research effort to develop Digital Library support for non-textual documents. The main goal is to contribute to all parts of the Digital Library...
René Bernd, Ina Blümel, Harald Krottma...
ICDM
2006
IEEE
109views Data Mining» more  ICDM 2006»
14 years 4 months ago
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...
Bin Gao, Tie-Yan Liu, Wei-Ying Ma
WWW
2004
ACM
14 years 11 months ago
The effect of the back button in a random walk: application for pagerank
Theoretical analysis of the Web graph is often used to improve the efficiency of search engines. The PageRank algorithm, proposed by [5], is used by the Google search engine [4] t...
Fabien Mathieu, Mohamed Bouklit