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Challenges in Computational Statistics and Data Mining / edited by Stan Matwin, Jan Mielniczuk

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Studies in Computational Intelligence ; 605 | SpringerLink Bücher | Springer eBook Collection EngineeringPublisher: Cham : Springer, 2016Description: Online-Ressource (X, 399 p. 73 illus., 3 illus. in color, online resource)ISBN:
  • 9783319187815
Subject(s): Additional physical formats: 9783319187808 | Erscheint auch als: Challenges in computational statistics and data mining. Druck-Ausgabe. Cham : Springer, 2015. 390 S.DDC classification:
  • 006.3
LOC classification:
  • Q342
DOI: DOI: 10.1007/978-3-319-18781-5Online resources: 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 arePPN: PPN: 1657551954Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE
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