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» Computing in Quotient Groups
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DKE
2008
79views more  DKE 2008»
15 years 6 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
SOCIALCOM
2010
15 years 4 months ago
GDC: Group Discovery Using Co-location Traces
Smart phones can collect and share Bluetooth co-location traces to identify ad hoc or semi-permanent social groups. This information, known to group members but otherwise unavailab...
Steve Mardenfeld, Daniel Boston, Susan Juan Pan, Q...
WSDM
2009
ACM
115views Data Mining» more  WSDM 2009»
16 years 1 months ago
Discovering and using groups to improve personalized search
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
Jaime Teevan, Meredith Ringel Morris, Steve Bush
MICRO
2005
IEEE
105views Hardware» more  MICRO 2005»
16 years 4 days ago
Incremental Commit Groups for Non-Atomic Trace Processing
We introduce techniques to support efficient non-atomic execution of very long traces on a new binary translation based, x86-64 compatible VLIW microprocessor. Incrementally comm...
Matt T. Yourst, Kanad Ghose
EDBT
2008
ACM
106views Database» more  EDBT 2008»
16 years 6 months ago
Highly scalable trip grouping for large-scale collective transportation systems
Transportation?related problems, like road congestion, parking, and pollution, are increasing in most cities. In order to reduce traffic, recent work has proposed methods for vehi...
Gyözö Gidófalvi, Torben Bach Pede...