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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2016
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-18781-5 http://cds.cern.ch/record/2062542 |
_version_ | 1780948538620903424 |
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author | Matwin, Stan Mielniczuk, Jan |
author_facet | Matwin, Stan Mielniczuk, Jan |
author_sort | Matwin, Stan |
collection | CERN |
description | 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. |
id | cern-2062542 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
publisher | Springer |
record_format | invenio |
spelling | cern-20625422021-04-21T20:03:32Zdoi:10.1007/978-3-319-18781-5http://cds.cern.ch/record/2062542engMatwin, StanMielniczuk, JanChallenges in computational statistics and data miningEngineeringThis 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.Springeroai:cds.cern.ch:20625422016 |
spellingShingle | Engineering Matwin, Stan Mielniczuk, Jan Challenges in computational statistics and data mining |
title | Challenges in computational statistics and data mining |
title_full | Challenges in computational statistics and data mining |
title_fullStr | Challenges in computational statistics and data mining |
title_full_unstemmed | Challenges in computational statistics and data mining |
title_short | Challenges in computational statistics and data mining |
title_sort | challenges in computational statistics and data mining |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-319-18781-5 http://cds.cern.ch/record/2062542 |
work_keys_str_mv | AT matwinstan challengesincomputationalstatisticsanddatamining AT mielniczukjan challengesincomputationalstatisticsanddatamining |