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Challenges in computational statisti...
~
Mielniczuk, Jan.
Challenges in computational statistics and data mining
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Challenges in computational statistics and data mining/ edited by Stan Matwin, Jan Mielniczuk.
other author:
Matwin, Stan.
Published:
Cham :Springer International Publishing : : 2016.,
Description:
x, 399 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Mathematical statistics. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-18781-5
ISBN:
9783319187815
Challenges in computational statistics and data mining
Challenges in computational statistics and data mining
[electronic resource] /edited by Stan Matwin, Jan Mielniczuk. - Cham :Springer International Publishing :2016. - x, 399 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.6051860-949X ;. - Studies in computational intelligence ;v. 50. .
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.
ISBN: 9783319187815
Standard No.: 10.1007/978-3-319-18781-5doiSubjects--Topical Terms:
527941
Mathematical statistics.
LC Class. No.: QA276
Dewey Class. No.: 519.5
Challenges in computational statistics and data mining
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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.
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