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» Detecting Change in Data Streams
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199
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SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
16 years 3 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
SIGMOD
2006
ACM
238views Database» more  SIGMOD 2006»
16 years 3 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...
147
Voted
ICDE
2007
IEEE
174views Database» more  ICDE 2007»
15 years 9 months ago
Adapting Partitioned Continuous Query Processing in Distributed Systems
Partitioned query processing is an effective method to process continuous queries with large stateful operators in a distributed systems. This method typically partitions input da...
Yali Zhu, Elke A. Rundensteiner
VCIP
2003
163views Communications» more  VCIP 2003»
15 years 4 months ago
Comparing subjective video quality testing methodologies
International recommendations for subjective video quality assessment (e.g., ITU-R BT.500-11) include specifications for how to perform many different types of subjective tests. S...
Margaret H. Pinson, Stephen Wolf
KDD
2007
ACM
137views Data Mining» more  KDD 2007»
16 years 3 months ago
Characterising the difference
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes