Exploratory Data Analysis in Empirical Research [electronic resource] : Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14–16, 2001 /
Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.
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Main Authors: | , , |
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Format: | Texto biblioteca |
Language: | eng |
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Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,
2003
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Subjects: | Computer science., Business., Management science., Data structures (Computer science)., Database management., Probabilities., Statistics., Economic theory., Computer Science., Database Management., Probability Theory and Stochastic Processes., Business and Management, general., Data Structures, Cryptology and Information Theory., Statistics for Business/Economics/Mathematical Finance/Insurance., Economic Theory/Quantitative Economics/Mathematical Methods., |
Online Access: | http://dx.doi.org/10.1007/978-3-642-55721-7 |
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Summary: | Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences. |
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