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» A Partial-Repeatability Approach to Data Mining
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KDD
2006
ACM
222views Data Mining» more  KDD 2006»
16 years 4 months ago
A component-based framework for knowledge discovery in bioinformatics
Motivation: In the field of bioinformatics there is an emerging need to integrate all knowledge discovery steps into a standardized modular framework. Indeed, component-based deve...
Julien Etienne, Bernd Wachmann, Lei Zhang
PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
15 years 11 months ago
When does Co-training Work in Real Data?
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
Charles X. Ling, Jun Du, Zhi-Hua Zhou
ICDM
2008
IEEE
179views Data Mining» more  ICDM 2008»
15 years 10 months ago
Detection and Exploration of Outlier Regions in Sensor Data Streams
Sensor networks play an important role in applications concerned with environmental monitoring, disaster management, and policy making. Effective and flexible techniques are need...
Conny Franke, Michael Gertz
ICDE
2007
IEEE
129views Database» more  ICDE 2007»
15 years 10 months ago
Ontology-driven Rule Generalization and Categorization for Market Data
—Radio Frequency Identification (RFID) is an emerging technique that can significantly enhance supply chain processes and deliver customer service improvements. RFID provides use...
Dongwoo Won, Dennis McLeod
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 4 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...