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» Large Scale Data Mining: Challenges and Responses
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SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 7 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
14 years 1 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec
PERVASIVE
2005
Springer
15 years 11 months ago
Collaborative Sensing in a Retail Store Using Synchronous Distributed Jam Signalling
The retail store environment is a challenging application area for Pervasive Computing technologies. It has demanding base conditions due to the number and complexity of the interd...
Albert Krohn, Tobias Zimmer, Michael Beigl, Christ...
AIPR
2008
IEEE
15 years 6 months ago
A spatial feature enhanced MMI algorithm for multi-modal wild-fire image registration
The integration of multi-spectral airborne imagery and geographic data for wildfire and emergency response requires 3D multiple view registration. Registration of maps, visible ima...
Xiaofeng Fan, Harvey E. Rhody
PVLDB
2008
99views more  PVLDB 2008»
15 years 5 months ago
Industry-scale duplicate detection
Duplicate detection is the process of identifying multiple representations of a same real-world object in a data source. Duplicate detection is a problem of critical importance in...
Melanie Weis, Felix Naumann, Ulrich Jehle, Jens Lu...