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» Efficiently Monitoring Top-k Pairs over Sliding Windows
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ICDE
2012
IEEE
291views Database» more  ICDE 2012»
12 years 10 months ago
Efficiently Monitoring Top-k Pairs over Sliding Windows
Top-k pairs queries have received significant attention by the research community. k-closest pairs queries, k-furthest pairs queries and their variants are among the most well stu...
Zhitao Shen, Muhammad Aamir Cheema, Xuemin Lin, We...
SIGMOD
2006
ACM
238views Database» more  SIGMOD 2006»
14 years 11 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...
PODS
2006
ACM
217views Database» more  PODS 2006»
14 years 11 months ago
A simpler and more efficient deterministic scheme for finding frequent items over sliding windows
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
Lap-Kei Lee, H. F. Ting
ADC
2010
Springer
266views Database» more  ADC 2010»
13 years 5 months ago
Counting distinct objects over sliding windows
Aggregation against distinct objects has been involved in many real applications with the presence of duplicates, including real-time monitoring moving objects. In this paper, we ...
Wenjie Zhang, Ying Zhang, Muhammad Aamir Cheema, X...
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 11 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha