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LION
2010
Springer
209views Optimization» more  LION 2010»
14 years 3 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
FEGC
2010
161views Biometrics» more  FEGC 2010»
14 years 10 days ago
Detecting anomalies in data streams using statecharts
The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream i...
Vasile-Marian Scuturici, Dan-Mircea Suciu, Romain ...
IJSI
2008
115views more  IJSI 2008»
13 years 11 months ago
Towards Knowledge Acquisition from Semi-Structured Content
Abstract A rich family of generic Information Extraction (IE) techniques have been developed by researchers nowadays. This paper proposes WebKER, a system for automatically extract...
Xi Bai, Jigui Sun, Haiyan Che, Lian Shi
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 8 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
14 years 4 months ago
Adaptively Detecting Aggregation Bursts in Data Streams
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
Aoying Zhou, Shouke Qin, Weining Qian