Machine learning and data mining methods and applications ryszad s michalski editor ivan bratko editor miroslav kubat editor isbn 978 0 471 97199 3 april 1998 472 pages. Applications of machine learning and data mining methods to detect associations of rare and common variants with complex traits machine learning methods mlms designed to develop models using high dimensional predictors have been used to analyze genome wide genetic and genomic data to predict risks for complex traits. From the publisher master the new computational tools to get the most out of your information system this practical guide the first to clearly outline the situation for the benefit of engineers and scientists provides a straightforward introduction to basic machine learning and data mining methods covering the analysis of numerical text and sound data. The methods have so far been applied in telecommunications paleoecology medical genetics and text databases the data mining research has lots of industrial applications and part of the research group works currently in industry developing efficient analytically well motivated general purpose learning algorithms for different machine
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