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JDWM
2006
84views more  JDWM 2006»
13 years 8 months ago
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data
This paper focuses on the discovery of surprising, unexpected patterns, based on a data mining method that consists of detecting instances of Simpson's paradox. By its very n...
Carem C. Fabris, Alex Alves Freitas
IJWET
2008
98views more  IJWET 2008»
13 years 8 months ago
Warehousing complex data from the web
: Data warehousing and Online Analytical Processing (OLAP) technologies are now moving onto handling complex data that mostly originate from the web. However, integrating such data...
Omar Boussaid, Jérôme Darmont, Fadila...
PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
14 years 22 days ago
Learning from Highly Structured Data by Decomposition
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
René MacKinney-Romero, Christophe G. Giraud...
IADIS
2008
13 years 10 months ago
Ontology In Association Rules Pre-Processing And Post-Processing
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as Association Rules, substantially reduce th...
Inhaúma Neves Ferraz, Ana Cristina Bicharra...
ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
14 years 2 months ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...