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» Data Mining: Machine Learning, Statistics, and Databases
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VLDB
1997
ACM
169views Database» more  VLDB 1997»
13 years 11 months ago
Mining Insurance Data at Swiss Life
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Jörg-Uwe Kietz, Ulrich Reimer, Martin Staudt
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
11 years 9 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
MLDM
2009
Springer
13 years 12 months ago
Assisting Data Mining through Automated Planning
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Fernando Fernández, Daniel Borrajo, Susana ...
BMCBI
2011
12 years 11 months ago
BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs
Background: The identification of drug characteristics is a clinically important task, but it requires much expert knowledge and consumes substantial resources. We have developed ...
Frank P. Y. Lin, Stephen Anthony, Thomas M. Polase...
MLDM
2009
Springer
14 years 1 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...