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» A Fully Distributed Framework for Cost-Sensitive Data Mining
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DSS
2007
226views more  DSS 2007»
13 years 7 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
KDD
2009
ACM
164views Data Mining» more  KDD 2009»
14 years 8 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
DASFAA
2003
IEEE
99views Database» more  DASFAA 2003»
14 years 28 days ago
Scalable View Expansion in a Peer Mediator System
To integrate many data sources we use a peer mediator framework where views defined in the peers are logically composed in terms of each other. A common approach to execute queri...
Timour Katchaounov, Vanja Josifovski, Tore Risch
WWW
2010
ACM
14 years 2 months ago
Large-scale bot detection for search engines
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
PLDI
1993
ACM
13 years 11 months ago
Global Optimizations for Parallelism and Locality on Scalable Parallel Machines
Data locality is critical to achievinghigh performance on large-scale parallel machines. Non-local data accesses result in communication that can greatly impact performance. Thus ...
Jennifer-Ann M. Anderson, Monica S. Lam