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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
TKDE
2008
155views more  TKDE 2008»
13 years 5 months ago
Incremental Maintenance of Online Summaries Over Multiple Streams
We propose a novel approach based on predictive quantization (PQ) for online summarization of multiple time-varying data streams. A synopsis over a sliding window of most recent en...
Fatih Altiparmak, Ertem Tuncel, Hakan Ferhatosmano...
SIGMOD
2005
ACM
119views Database» more  SIGMOD 2005»
14 years 5 months ago
Update-Pattern-Aware Modeling and Processing of Continuous Queries
A defining characteristic of continuous queries over on-line data streams, possibly bounded by sliding windows, is the potentially infinite and time-evolving nature of their input...
Lukasz Golab, M. Tamer Özsu
SSDBM
2006
IEEE
129views Database» more  SSDBM 2006»
13 years 11 months ago
Indexing Time-Evolving Data With Variable Lifetimes
Many applicationsstore data items for a pre-determined, finite length of time. Examples include slidingwindows over on-line data streams, where old data are dropped as the window...
Lukasz Golab, Piyush Prahladka, M. Tamer Özsu
EDBT
2011
ACM
281views Database» more  EDBT 2011»
12 years 8 months ago
Fast and accurate computation of equi-depth histograms over data streams
Equi-depth histograms represent a fundamental synopsis widely used in both database and data stream applications, as they provide the cornerstone of many techniques such as query ...
Hamid Mousavi, Carlo Zaniolo