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» The Process of Knowledge Discovery in Databases: A First Ske...
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WM
2003
13 years 11 months ago
Integration with Ontologies
: One of today’s hottest IT topics is integration, as bringing together information from different sources and structures is not completely solved. The approach outlined here wan...
Andreas Maier, Jessica Aguado, Amaia Bernaras, I&n...
IEEESCC
2007
IEEE
14 years 4 months ago
Business-Activity Driven Search: Addressing the Information Needs of Services Professionals
Services business generates significant amount of human and machine created data. Search and discovery of relevant information from this data is a critical factor in enhancing wor...
Nithya Rajamani, Murthy V. Devarakonda, Yu Deng, W...
BMCBI
2008
160views more  BMCBI 2008»
13 years 10 months ago
Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'
Background: The variety of DNA microarray formats and datasets presently available offers an unprecedented opportunity to perform insightful comparisons of heterogeneous data. Cro...
Alexandre Kuhn, Ruth Luthi-Carter, Mauro Delorenzi
DSS
2006
129views more  DSS 2006»
13 years 10 months ago
A new approach to classification based on association rule mining
Classification is one of the key issues in the fields of decision sciences and knowledge discovery. This paper presents a new approach for constructing a classifier, based on an e...
Guoqing Chen, Hongyan Liu, Lan Yu, Qiang Wei, Xing...
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 7 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat