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ACIIDS
2009
IEEE
144views Database» more  ACIIDS 2009»
13 years 11 months ago
Processing Exact Results for Sliding Window Joins over Time-Sequence, Streaming Data Using a Disk Archive
— We consider the problem of processing exact results for sliding window joins over data streams with limited memory. Existing approaches deal with memory limitations by shedding...
Abhirup Chakraborty, Ajit Singh
DIS
2006
Springer
13 years 9 months ago
Kalman Filters and Adaptive Windows for Learning in Data Streams
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
Albert Bifet, Ricard Gavaldà
VLDB
2007
ACM
161views Database» more  VLDB 2007»
14 years 6 months ago
Proof-Infused Streams: Enabling Authentication of Sliding Window Queries On Streams
As computer systems are essential components of many critical commercial services, the need for secure online transactions is now becoming evident. The demand for such application...
Feifei Li, Ke Yi, Marios Hadjieleftheriou, George ...
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
KAIS
2006
110views more  KAIS 2006»
13 years 5 months ago
Catch the moment: maintaining closed frequent itemsets over a data stream sliding window
Yun Chi, Haixun Wang, Philip S. Yu, Richard R. Mun...