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KDD
2010
ACM
235views Data Mining» more  KDD 2010»
13 years 11 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
EDBT
2009
ACM
118views Database» more  EDBT 2009»
13 years 11 months ago
Flower-CDN: a hybrid P2P overlay for efficient query processing in CDN
Many websites with a large user base, e.g., websites of nonprofit organizations, do not have the financial means to install large web-servers or use specialized content distributi...
Manal El Dick, Esther Pacitti, Bettina Kemme
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
13 years 11 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
PAKM
1998
13 years 9 months ago
Knowledge Management: A Text Mining Approach
Knowledge Discovery in Databases (KDD), also known as data mining, focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns wi...
Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan A...
BMCBI
2005
124views more  BMCBI 2005»
13 years 7 months ago
Internet-based profiler system as integrative framework to support translational research
Background: Translational research requires taking basic science observations and developing them into clinically useful tests and therapeutics. We have developed a process to dev...
Robert Kim, Francesca Demichelis, Jeffery Tang, Al...