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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 6 months ago
Group formation in large social networks: membership, growth, and evolution
The processes by which communities come together, attract new members, and develop over time is a central research issue in the social sciences -- political movements, professiona...
Lars Backstrom, Daniel P. Huttenlocher, Jon M. Kle...
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
16 years 6 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
16 years 6 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
16 years 6 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
MOBISYS
2008
ACM
16 years 5 months ago
Virtual trip lines for distributed privacy-preserving traffic monitoring
Automotive traffic monitoring using probe vehicles with Global Positioning System receivers promises significant improvements in cost, coverage, and accuracy. Current approaches, ...
Baik Hoh, Marco Gruteser, Ryan Herring, Jeff Ban, ...