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» Data streams: algorithms and applications
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ECAI
2008
Springer
15 years 8 months ago
An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. V...
VLDB
2004
ACM
108views Database» more  VLDB 2004»
16 years 9 days ago
QStream: Deterministic Querying of Data Streams
Current developments in processing data streams are based on the best-effort principle and therefore not adequate for many application areas. When sensor data is gathered by inte...
Sven Schmidt, Henrike Berthold, Wolfgang Lehner
ICDE
2011
IEEE
262views Database» more  ICDE 2011»
14 years 10 months ago
Memory-constrained aggregate computation over data streams
— In this paper, we study the problem of efficiently computing multiple aggregation queries over a data stream. In order to share computation, prior proposals have suggested ins...
K. V. M. Naidu, Rajeev Rastogi, Scott Satkin, Anan...
STOC
2003
ACM
141views Algorithms» more  STOC 2003»
16 years 7 months ago
Better streaming algorithms for clustering problems
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
Moses Charikar, Liadan O'Callaghan, Rina Panigrahy
191
Voted
BTW
2009
Springer
166views Database» more  BTW 2009»
16 years 1 months ago
TinTO: A Tool for View-Based Analysis of Stock Market Data Streams
: TinTO is an experimental system aiming at demonstrating the usefulness and feasibility of incrementally evaluated SQL queries for analyzing a wide spectrum of data streams. As ap...
Andreas Behrend, Christian Dorau, Rainer Manthey