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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 5 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
PDPTA
2003
13 years 6 months ago
Tuxedo: A Peer-to-Peer Caching System
We are witnessing two trends in Web content access: (a) increasing amounts of dynamic and personalized Web content, and (b) a significant growth in “on-the-move” access using...
Weisong Shi, Kandarp Shah, Yonggen Mao, Vipin Chau...
MOBICOM
2009
ACM
13 years 11 months ago
SurroundSense: mobile phone localization via ambience fingerprinting
A growing number of mobile computing applications are centered around the user’s location. The notion of location is broad, ranging from physical coordinates (latitude/longitude...
Martin Azizyan, Ionut Constandache, Romit Roy Chou...
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 5 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
14 years 5 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande