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KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 7 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
2003
ACM
130views Data Mining» more  KDD 2003»
16 years 7 months ago
Towards systematic design of distance functions for data mining applications
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
Charu C. Aggarwal
CHI
2008
ACM
16 years 7 months ago
Understanding and characterizing insights: how do people gain insights using information visualization?
Even though "providing insight" has been considered one of the main purposes of information visualization (InfoVis), we feel that insight is still a not-well-understood ...
Ji Soo Yi, Youn ah Kang, John T. Stasko, Julie A. ...
CHI
2008
ACM
16 years 7 months ago
Mischief: supporting remote teaching in developing regions
Mischief is a system to support traditional classroom practices between a remote instructor and a group of collocated students. Meant for developing regions, each student in the c...
Neema Moraveji, Taemie Kim, James Ge, Udai Singh P...
CHI
2007
ACM
16 years 7 months ago
Recent shortcuts: using recent interactions to support shared activities
We present an empirical study of teams that revealed the amount of extraneous individual work needed to enable collaboration: finding references to other people, finding files to ...
John C. Tang, James Lin, Jeffrey Pierce, Steve Whi...
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