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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 7 days ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
BMCBI
2006
126views more  BMCBI 2006»
14 years 11 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
ADBIS
2000
Springer
166views Database» more  ADBIS 2000»
15 years 4 months ago
Integrating Bibliographical Data from Heterogeneous Digital Libraries
The integration of bibliographical data today is considered one of the most important tasks in the area of digital libraries. Various available sources of bibliographical informati...
Eike Schallehn, Martin Endig, Kai-Uwe Sattler
BMCBI
2008
160views more  BMCBI 2008»
14 years 11 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
DILS
2005
Springer
15 years 5 months ago
Cluster Based Integration of Heterogeneous Biological Databases Using the AutoMed Toolkit
This paper presents an extensible architecture that can be used to support the integration of heterogeneous biological data sets. In our architecture, a clustering approach has bee...
Michael Maibaum, Lucas Zamboulis, Galia Rimon, Chr...