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» Detecting Inconsistencies in Distributed Data
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ICAC
2009
IEEE
14 years 5 months ago
Applying genetic algorithms to decision making in autonomic computing systems
Increasingly, applications need to be able to self-reconfigure in response to changing requirements and environmental conditions. Autonomic computing has been proposed as a means...
Andres J. Ramirez, David B. Knoester, Betty H. C. ...
IPM
2010
157views more  IPM 2010»
13 years 8 months ago
Personalization of tagging systems
Social media systems have encouraged end user participation in the Internet, for the purpose of storing and distributing Internet content, sharing opinions and maintaining relatio...
Jun Wang, Maarten Clements, Jie Yang, Arjen P. de ...
PVLDB
2010
166views more  PVLDB 2010»
13 years 8 months ago
Complex Event Detection at Wire Speed with FPGAs
Complex event detection is an advanced form of data stream processing where the stream(s) are scrutinized to identify given event patterns. The challenge for many complex event pr...
Louis Woods, Jens Teubner, Gustavo Alonso
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
14 years 10 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider
KDD
2005
ACM
104views Data Mining» more  KDD 2005»
14 years 10 months ago
A hit-miss model for duplicate detection in the WHO drug safety database
The WHO Collaborating Centre for International Drug Monitoring in Uppsala, Sweden, maintains and analyses the world's largest database of reports on suspected adverse drug re...
Andrew Bate, G. Niklas Norén, Roland Orre