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Author: Admin | 2025-04-28
Overview Editors: Jan Mielniczuk1 Stan Matwin Faculty of Computer Science, Dalhousie University, Halifax, Canada Jan Mielniczuk Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland, and Warsaw University of Technology, Warsaw, Poland 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 38k Accesses 3 Altmetric Access this book Log in via an institution Other ways to access About this book This volume contains nineteen research papers belonging to theareas 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. Thebook’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. Similar content being viewed by others Keywords Table of contents (19 chapters) Editors and Affiliations Faculty of Computer Science, Dalhousie University, Halifax, Canada Stan Matwin Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland, and Warsaw University of Technology, Warsaw, Poland Jan Mielniczuk 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 Publish with us Back to top
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