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» Discovering Classification from Data of Multiple Sources
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JDM
2007
99views more  JDM 2007»
13 years 7 months ago
Semantic Integration and Knowledge Discovery for Environmental Research
Environmental research and knowledge discovery both require extensive use of data stored in various sources and created in different ways for diverse purposes. We describe a new m...
Zhiyuan Chen, Aryya Gangopadhyay, George Karabatis...
IPSJ
1994
138views more  IPSJ 1994»
13 years 9 months ago
The TSIMMIS Project: Integration of Heterogeneous Information Sources
The goal of the Tsimmis Project is to develop tools that facilitate the rapid integration of heterogeneous information sources that may include both structured and unstructured da...
Sudarshan S. Chawathe, Hector Garcia-Molina, Joach...
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 8 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
VDB
2000
144views Database» more  VDB 2000»
13 years 9 months ago
BBQ: A Visual Interface for Integrated Browsing and Querying of XML
In this paper we present BBQ (Blended Browsing and Querying), a graphic user interface for seamlessly browsing and querying XML data sources. BBQ displays the structure of multipl...
Kevin D. Munroe, Yannis Papakonstantinou
BMCBI
2008
160views more  BMCBI 2008»
13 years 7 months ago
Predicting cancer involvement of genes from heterogeneous data
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
Ramon Aragues, Chris Sander, Baldo Oliva