Sciweavers

37 search results - page 3 / 8
» Counting distinct objects over sliding windows
Sort
View
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
13 years 9 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
ICDE
2008
IEEE
192views Database» more  ICDE 2008»
14 years 6 months ago
Verifying and Mining Frequent Patterns from Large Windows over Data Streams
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
Barzan Mozafari, Hetal Thakkar, Carlo Zaniolo
DIS
2009
Springer
13 years 11 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...
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
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
13 years 10 months ago
Stream Window Join: Tracking Moving Objects in Sensor-Network Databases
The widespread use of sensor networks presents revolutionary opportunities for life and environmental science applications. Many of these applications involve continuous queries t...
Moustafa A. Hammad, Walid G. Aref, Ahmed K. Elmaga...