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» Rethinking Database Algorithms for Phase Change Memory
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SIGMOD
2006
ACM
238views Database» more  SIGMOD 2006»
14 years 4 months ago
Continuous monitoring of top-k queries over sliding windows
Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with the highest scores according to f. Even though the problem is well-studied in convent...
Kyriakos Mouratidis, Spiridon Bakiras, Dimitris Pa...
DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
13 years 10 months ago
Adaptively Detecting Aggregation Bursts in Data Streams
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
Aoying Zhou, Shouke Qin, Weining Qian
ICMCS
2007
IEEE
164views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Medical Visual Information Retrieval: State of the Art and Challenges Ahead
Today’s medical institutions produce enormous amounts of data on patients, including multimedia data, which is increasingly produced in digital form. These data in their clinica...
Henning Müller, Xin Zhou, Adrien Depeursinge,...
ALMOB
2007
151views more  ALMOB 2007»
13 years 4 months ago
Local sequence alignments statistics: deviations from Gumbel statistics in the rare-event tail
Background: The optimal score for ungapped local alignments of infinitely long random sequences is known to follow a Gumbel extreme value distribution. Less is known about the imp...
Stefan Wolfsheimer, Bernd Burghardt, Alexander K. ...
CIKM
2009
Springer
13 years 11 months ago
Evaluating top-k queries over incomplete data streams
We study the problem of continuous monitoring of top-k queries over multiple non-synchronized streams. Assuming a sliding window model, this general problem has been a well addres...
Parisa Haghani, Sebastian Michel, Karl Aberer