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KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 10 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
14 years 10 months ago
Mining favorable facets
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 10 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
CHI
2006
ACM
14 years 10 months ago
Because I carry my cell phone anyway: functional location-based reminder applications
Although they have potential, to date location-based information systems have not radically improved the way we interact with our surroundings. To study related issues, we develop...
Pamela J. Ludford, Dan Frankowski, Ken Reily, Kurt...
CHI
2006
ACM
14 years 10 months ago
Collective creation and sense-making of mobile media
Traditionally, mobile media sharing and messaging has been studied from the perspective of an individual author making media available to other users. With the aim of supporting s...
Antti Salovaara, Giulio Jacucci, Antti Oulasvirta,...