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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 10 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 10 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
SIGMOD
2009
ACM
157views Database» more  SIGMOD 2009»
14 years 10 months ago
FPGA: what's in it for a database?
While there seems to be a general agreement that next years' systems will include many processing cores, it is often overlooked that these systems will also include an increa...
Jens Teubner, René Müller
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 10 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 10 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner