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» The Similarity Join Database Operator
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KDD
2009
ACM
217views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
CALCO
2009
Springer
166views Mathematics» more  CALCO 2009»
15 years 4 months ago
Distributive Lattice-Structured Ontologies
Abstract. In this paper we describe a language and method for deriving ontologies and ordering databases. The ontological structures arrived at are distributive lattices with attri...
Hans Bruun, Dion Coumans, Mai Gehrke
PODS
2005
ACM
86views Database» more  PODS 2005»
15 years 3 months ago
An incremental algorithm for computing ranked full disjunctions
The full disjunction is a variation of the join operator that maximally combines tuples from connected relations, while preserving all information in the relations. The full disju...
Sara Cohen, Yehoshua Sagiv
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
15 years 10 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
2006
ACM
150views Database» more  SIGMOD 2006»
15 years 10 months ago
On-the-fly sharing for streamed aggregation
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
Sailesh Krishnamurthy, Chung Wu, Michael J. Frankl...