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» Detecting Change in Data Streams
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SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 9 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»
14 years 9 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...
ICDE
2007
IEEE
174views Database» more  ICDE 2007»
14 years 3 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»
13 years 10 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»
14 years 9 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