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» Exploring the CSCW spectrum using process mining
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 9 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 1 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
EUROSYS
2007
ACM
14 years 11 months ago
Enabling scalability and performance in a large scale CMP environment
Hardware trends suggest that large-scale CMP architectures, with tens to hundreds of processing cores on a single piece of silicon, are iminent within the next decade. While exist...
Bratin Saha, Ali-Reza Adl-Tabatabai, Anwar M. Ghul...
DSS
2007
226views more  DSS 2007»
14 years 9 months ago
Dare to share: Protecting sensitive knowledge with data sanitization
chool of Business Research – FY 2007 Research Abstracts Dare to Share: Protecting Sensitive Knowledge with Data Sanitization Data sanitization is a process that is used to promot...
Ali Amiri
PAISI
2010
Springer
14 years 7 months ago
Efficient Privacy Preserving K-Means Clustering
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...