Overview
- Presents recent Challenges in Computational Statistics and Data Mining
- Honorary book for Professor Jacek Koronacki on the occasion of his 70th birthday
- Demonstrates close connection between the areas of computational statistics and data mining and their applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 605)
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Table of contents (19 chapters)
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Front Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Challenges in Computational Statistics and Data Mining
Editors: Stan Matwin, Jan Mielniczuk
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-18781-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-18780-8Published: 21 July 2015
Softcover ISBN: 978-3-319-37008-8Published: 15 October 2016
eBook ISBN: 978-3-319-18781-5Published: 07 July 2015
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 399
Number of Illustrations: 70 b/w illustrations, 3 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Artificial Intelligence