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WWW
2010
ACM
16 years 1 months ago
Web-scale k-means clustering
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
D. Sculley
WWW
2002
ACM
16 years 7 months ago
Clustering for opportunistic communication
We describe ongoing work on I2I, a system aimed at fostering opportunistic communication among users viewing or manipulating content on the Web and in productivity applications. U...
Jay Budzik, Shannon Bradshaw, Xiaobin Fu, Kristian...
CORR
2004
Springer
208views Education» more  CORR 2004»
15 years 6 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham
BMCBI
2006
118views more  BMCBI 2006»
15 years 6 months ago
Low degree metabolites explain essential reactions and enhance modularity in biological networks
Background: Recently there has been a lot of interest in identifying modules at the level of genetic and metabolic networks of organisms, as well as in identifying single genes an...
Areejit Samal, Shalini Singh, Varun Giri, Sandeep ...
KCAP
2009
ACM
16 years 25 days ago
Overview of a semantic disambiguation method for unstructured web contexts
In this paper we give an overview of a multiontology disambiguation method, targeted to discover the intended meaning of words in unstructured web contexts. It receives an ambiguo...
Jorge Gracia, Eduardo Mena