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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
16 years 1 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 4 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
CHI
2004
ACM
16 years 5 days ago
Text analysis as a tool for analyzing conversation in online support groups
In this paper we describe a software tool that allows investigators to make comparisons across different online forums and media by analyzing word counts in userspecified categori...
Adam D. I. Kramer, Susan R. Fussell, Leslie D. Set...
CAISE
2004
Springer
16 years 4 days ago
Business Alignment: Using Process Mining as a Tool for Delta Analysis
Fueled by the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM, and B2B systems), process mining has become a vivid research area. Until rece...
Wil M. P. van der Aalst
CGF
1999
79views more  CGF 1999»
15 years 6 months ago
A Practical Analysis of Clustering Strategies for Hierarchical Radiosity
The calculation of radiant energy balance in complex scenes has been made possible by hierarchical radiosity methods based on clustering mechanisms. Although clustering offers an ...
Jean-Marc Hasenfratz, Cyrille Damez, Franço...