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LCTRTS
2010
Springer
15 years 6 months ago
Modeling structured event streams in system level performance analysis
This paper extends the methodology of analytic real-time analysis of distributed embedded systems towards merging and extracting sub-streams based on event type information. For e...
Simon Perathoner, Tobias Rein, Lothar Thiele, Kai ...
VLDB
2007
ACM
145views Database» more  VLDB 2007»
16 years 3 days ago
Executing Stream Joins on the Cell Processor
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
Bugra Gedik, Philip S. Yu, Rajesh Bordawekar
CORR
2008
Springer
113views Education» more  CORR 2008»
14 years 12 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
ICDE
2010
IEEE
248views Database» more  ICDE 2010»
15 years 11 months ago
Similarity Search on Supergraph Containment
A supergraph containment search is to retrieve the data graphs contained by a query graph. In this paper, we study the problem of efficiently retrieving all data graphs approximate...
Haichuan Shang, Ke Zhu, Xuemin Lin, Ying Zhang, Ry...
ICDE
1997
IEEE
172views Database» more  ICDE 1997»
15 years 4 months ago
Modeling and Querying Moving Objects
In this paper we propose a data model for representing moving objects in database systems. It is called the Moving Objects Spatio-Temporal (MOST) data model. We also propose Futur...
A. Prasad Sistla, Ouri Wolfson, Sam Chamberlain, S...