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» Privacy and Data Mining: New Developments and Challenges
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KDD
2008
ACM
161views Data Mining» more  KDD 2008»
15 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
148views Data Mining» more  KDD 2007»
15 years 10 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
83
Voted
JTAER
2007
125views more  JTAER 2007»
14 years 10 months ago
Australian Case Studies in Mobile Commerce
Sixteen wireless case studies highlight issues relating to mobile commerce in Australia. The issues include: the need for a clear business case; difficulty of achieving critical m...
Jonathan O'Donnell, Margaret Jackson, Marita Shell...
OOPSLA
2005
Springer
15 years 3 months ago
Subtext: uncovering the simplicity of programming
Representing programs as text strings makes programming harder then it has to be. The source text of a program is far removed from its behavior. Bridging this conceptual gulf is w...
Jonathan Edwards
KDD
2004
ACM
131views Data Mining» more  KDD 2004»
15 years 10 months ago
Fast nonlinear regression via eigenimages applied to galactic morphology
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
Brigham Anderson, Andrew W. Moore, Andrew Connolly...