Open source software for statistical analysis of big data: emerging research and opportunities
"This book explores topics in the field of open source software for big data"--
Gespeichert in:
Weitere beteiligte Personen: | , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Hershey, PA
IGI Global
[2020]
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Schlagwörter: | |
Links: | https://doi.org/10.4018/978-1-7998-2768-9 https://doi.org/10.4018/978-1-7998-2768-9 https://doi.org/10.4018/978-1-7998-2768-9 https://doi.org/10.4018/978-1-7998-2768-9 https://doi.org/10.4018/978-1-7998-2768-9 |
Zusammenfassung: | "This book explores topics in the field of open source software for big data"-- |
Umfang: | 1 Online-Ressource |
ISBN: | 9781799827702 |
DOI: | 10.4018/978-1-7998-2768-9 |
Internformat
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505 | 8 | |a Open source software for statistical analysis of big data : Emerging research and opportunities / Richard Segall, Arkansas State University, United States, Gao Niu, Bryant University, United States -- Introduction to python and its statistical applications / SIyu Shi, The Pennsylvania State University, United States -- A comparison of machine learning algorithms of big data for time series forecasting using python / Son Nguyen, Bryant University, United States, Son Park, Bryant University, United States | |
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Datensatz im Suchindex
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any_adam_object | |
author2 | Segall, Richard S. 1949- Niu, Gao |
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author_GND | (DE-588)1079222448 (DE-588)120416360X |
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contents | Open source software for statistical analysis of big data : Emerging research and opportunities / Richard Segall, Arkansas State University, United States, Gao Niu, Bryant University, United States -- Introduction to python and its statistical applications / SIyu Shi, The Pennsylvania State University, United States -- A comparison of machine learning algorithms of big data for time series forecasting using python / Son Nguyen, Bryant University, United States, Son Park, Bryant University, United States |
ctrlnum | (OCoLC)1141135081 (DE-599)BVBBV046425036 |
doi_str_mv | 10.4018/978-1-7998-2768-9 |
format | Electronic eBook |
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id | DE-604.BV046425036 |
illustrated | Not Illustrated |
indexdate | 2024-12-20T18:51:53Z |
institution | BVB |
isbn | 9781799827702 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031837379 |
oclc_num | 1141135081 |
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publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | IGI Global |
record_format | marc |
spelling | Open source software for statistical analysis of big data emerging research and opportunities Richard S. Segall, Gao Niu Hershey, PA IGI Global [2020] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Open source software for statistical analysis of big data : Emerging research and opportunities / Richard Segall, Arkansas State University, United States, Gao Niu, Bryant University, United States -- Introduction to python and its statistical applications / SIyu Shi, The Pennsylvania State University, United States -- A comparison of machine learning algorithms of big data for time series forecasting using python / Son Nguyen, Bryant University, United States, Son Park, Bryant University, United States "This book explores topics in the field of open source software for big data"-- Statistics / Data processing Open source software Big data Big data fast Open source software fast Statistics / Data processing fast Segall, Richard S. 1949- (DE-588)1079222448 edt Niu, Gao (DE-588)120416360X edt Erscheint auch als Druck-Ausgabe, hardcover 978-1-7998-2768-9 Erscheint auch als Druck-Ausgabe, softcover 978-1-7998-2769-6 https://doi.org/10.4018/978-1-7998-2768-9 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Open source software for statistical analysis of big data emerging research and opportunities Open source software for statistical analysis of big data : Emerging research and opportunities / Richard Segall, Arkansas State University, United States, Gao Niu, Bryant University, United States -- Introduction to python and its statistical applications / SIyu Shi, The Pennsylvania State University, United States -- A comparison of machine learning algorithms of big data for time series forecasting using python / Son Nguyen, Bryant University, United States, Son Park, Bryant University, United States Statistics / Data processing Open source software Big data Big data fast Open source software fast Statistics / Data processing fast |
title | Open source software for statistical analysis of big data emerging research and opportunities |
title_auth | Open source software for statistical analysis of big data emerging research and opportunities |
title_exact_search | Open source software for statistical analysis of big data emerging research and opportunities |
title_full | Open source software for statistical analysis of big data emerging research and opportunities Richard S. Segall, Gao Niu |
title_fullStr | Open source software for statistical analysis of big data emerging research and opportunities Richard S. Segall, Gao Niu |
title_full_unstemmed | Open source software for statistical analysis of big data emerging research and opportunities Richard S. Segall, Gao Niu |
title_short | Open source software for statistical analysis of big data |
title_sort | open source software for statistical analysis of big data emerging research and opportunities |
title_sub | emerging research and opportunities |
topic | Statistics / Data processing Open source software Big data Big data fast Open source software fast Statistics / Data processing fast |
topic_facet | Statistics / Data processing Open source software Big data |
url | https://doi.org/10.4018/978-1-7998-2768-9 |
work_keys_str_mv | AT segallrichards opensourcesoftwareforstatisticalanalysisofbigdataemergingresearchandopportunities AT niugao opensourcesoftwareforstatisticalanalysisofbigdataemergingresearchandopportunities |