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» Discovering Informative Patterns and Data Cleaning
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EDBT
2006
ACM
130views Database» more  EDBT 2006»
14 years 11 months ago
Querying and Updating Probabilistic Information in XML
Abstract. We present in this paper a new model for representing probabilistic information in a semi-structured (XML) database, based on the use of probabilistic event variables. Th...
Serge Abiteboul, Pierre Senellart
CIKM
2009
Springer
14 years 5 months ago
Agglomerating local patterns hierarchically with ALPHA
To increase the relevancy of local patterns discovered from noisy relations, it makes sense to formalize error-tolerance. Our starting point is to address the limitations of state...
Loïc Cerf, Pierre-Nicolas Mougel, Jean-Fran&c...
PPOPP
2005
ACM
14 years 4 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
ALT
2002
Springer
14 years 7 months ago
Data Mining with Graphical Models
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
Rudolf Kruse, Christian Borgelt
AICCSA
2008
IEEE
842views Hardware» more  AICCSA 2008»
14 years 26 days ago
Intelligent heart disease prediction system using data mining techniques
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information for effective decision making. Disc...
Sellappan Palaniappan, Rafiah Awang