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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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Subjects
Congresses, Information storage and retrieval systems, Statistics, Classification, Data mining, Computer science, Data structures (Computer science), Economics, Mathematical Economics, Management information systems, Cryptology and Information Theory Data Structures, Statistics for Business/Economics/Mathematical Finance/Insurance, Game Theory/Mathematical Methods, Business Information SystemsEdition | Availability |
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1
Exploratory data analysis in empirical research: proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14-16, 2001
2003, Springer
in English
3540441832 9783540441830
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2
Exploratory Data Analysis in Empirical Research
December 5, 2002, Springer
Paperback
in English
- 1 edition
3540441832 9783540441830
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Book Details
First Sentence
"Modern technical possibilities allow for simultaneous recording of many variables at high sampling frequencies."
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