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» Representing Data Quality for Streaming and Static Data
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GI
2007
Springer
15 years 10 months ago
Ontology Based Data Validation and Cleaning: Restructuring Operations for Ontology Maintenance
: Data validation and cleaning are integral processes of the data quality management cycle. Domain specific knowledge is needed to detect and correct semantic errors. Ontologies c...
Stefan Brüggemann, Thomas Aden
DSN
2008
IEEE
15 years 11 months ago
Hot-spot prediction and alleviation in distributed stream processing applications
Many emerging distributed applications require the realtime processing of large amounts of data that are being updated continuously. Distributed stream processing systems offer a ...
Thomas Repantis, Vana Kalogeraki
IEEEPACT
2007
IEEE
15 years 10 months ago
Error Detection Using Dynamic Dataflow Verification
Continued scaling of CMOS technology to smaller transistor sizes makes modern processors more susceptible to both transient and permanent hardware faults. Circuitlevel techniques ...
Albert Meixner, Daniel J. Sorin
KDD
2008
ACM
239views Data Mining» more  KDD 2008»
16 years 4 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
BTW
2009
Springer
166views Database» more  BTW 2009»
15 years 11 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