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» Maintaining Stream Statistics over Sliding Windows
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193
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ICDE
2006
IEEE
285views Database» more  ICDE 2006»
16 years 1 months ago
An Approach to Adaptive Memory Management in Data Stream Systems
Adaptivity is a challenging open issue in data stream management. In this paper, we tackle the problem of memory adaptivity inside a system executing temporal sliding window queri...
Bernhard Seeger, Jürgen Krämer, Michael ...
111
Voted
ADBIS
2009
Springer
127views Database» more  ADBIS 2009»
15 years 7 months ago
Window Update Patterns in Stream Operators
Continuous queries applied over nonterminating data streams usually specify windows in order to obtain an evolving –yet restricted– set of tuples and thus provide timely result...
Kostas Patroumpas, Timos K. Sellis
217
Voted
DIS
2010
Springer
14 years 11 months ago
Sentiment Knowledge Discovery in Twitter Streaming Data
Micro-blogs are a challenging new source of information for data mining techniques. Twitter is a micro-blogging service built to discover what is happening at any moment in time, a...
Albert Bifet, Eibe Frank
112
Voted
ICEBE
2005
IEEE
168views Business» more  ICEBE 2005»
15 years 6 months ago
Frequency Operators for Condensative Queries over Data Streams
Over a traditional Database Management System (DBMS), the answer to an aggregate query is usually much smaller than the answer to a similar nonaggregate query. Therefore, we call ...
Lisha Ma, Werner Nutt
93
Voted
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
15 years 1 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà