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Data Analysis, Machine Learning and Knowledge Discovery

Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing,...

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Corporate Author: SpringerLink (Online service)
Other Authors: Spiliopoulou, Myra. (Editor, http://id.loc.gov/vocabulary/relators/edt), Schmidt-Thieme, Lars. (Editor, http://id.loc.gov/vocabulary/relators/edt), Janning, Ruth. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Studies in Classification, Data Analysis, and Knowledge Organization,
Subjects:
Statistics .
Data mining.
Marketing.
Finance.
Biostatistics.
Psychology.
Statistics and Computing/Statistics Programs.
Data Mining and Knowledge Discovery.
Finance, general.
General Psychology.
Online Access:https://doi.org/10.1007/978-3-319-01595-8

Internet

https://doi.org/10.1007/978-3-319-01595-8

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