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Challenges in Computational Statistics and Data Mining

This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70...

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Corporate Author: SpringerLink (Online service)
Other Authors: Matwin, Stan. (Editor, http://id.loc.gov/vocabulary/relators/edt), Mielniczuk, Jan. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Studies in Computational Intelligence, 605
Subjects:
Computational intelligence.
Data mining.
Statistics .
Artificial intelligence.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-319-18781-5
Summary:This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The book’s related and often interconnected topics, represent Jacek Koronacki’s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are.
Physical Description:X, 399 p. 73 illus., 3 illus. in color. online resource.
ISBN:9783319187815
ISSN:1860-949X ;

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