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KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 6 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
16 years 6 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
ICDE
2010
IEEE
568views Database» more  ICDE 2010»
16 years 6 months ago
Reverse Top-k Queries
Rank-aware query processing has become essential for many applications that return to the user only the top-k objects based on the individual user's preferences. Top-k queries...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...
MOBIHOC
2006
ACM
16 years 6 months ago
Mobile backbone networks --: construction and maintenance
We study a novel hierarchical wireless networking approach in which some of the nodes are more capable than others. In such networks, the more capable nodes can serve as Mobile Ba...
Anand Srinivas, Gil Zussman, Eytan Modiano
ECIR
2009
Springer
16 years 3 months ago
Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval
Abstract. This paper concerns document ranking in information retrieval. In information retrieval systems, the widely accepted probability ranking principle (PRP) suggests that, fo...
Jun Wang