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» Maintaining Stream Statistics over Sliding Windows
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SIGMOD
2006
ACM
238views Database» more  SIGMOD 2006»
15 years 10 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...
138
Voted
ICDE
2012
IEEE
291views Database» more  ICDE 2012»
13 years 9 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...
110
Voted
DASFAA
2010
IEEE
193views Database» more  DASFAA 2010»
14 years 8 months ago
A Simple, Yet Effective and Efficient, Sliding Window Sampling Algorithm
Sampling streams of continuous data with limited memory, or reservoir sampling, is a utility algorithm. Standard reservoir sampling maintains a random sample of the entire stream a...
Xuesong Lu, Wee Hyong Tok, Chedy Raïssi, St&e...
ALGORITHMICA
2004
84views more  ALGORITHMICA 2004»
14 years 10 months ago
Computing Diameter in the Streaming and Sliding-Window Models
We investigate the diameter problem in the streaming and slidingwindow models. We show that, for a stream of n points or a sliding window of size n, any exact algorithm for diamet...
Joan Feigenbaum, Sampath Kannan, Jian Zhang 0004
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
15 years 2 months ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders