Big data analytics for sustainable computing:
Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2019
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| Schlagworte: | |
| Online-Zugang: | DE-91 DE-20 DE-1049 DE-898 DE-706 DE-573 DE-1050 DE-83 |
| Zusammenfassung: | Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative rese |
| Beschreibung: | Description based upon print version of record Description based on title screen (IGI Global, viewed 10/04/2019) |
| Beschreibung: | 1 Online-Ressource (21 PDFs (263 pages)) |
Internformat
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Datensatz im Suchindex
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| author | Haldorai, Anandakumar Ramu, Arulmurugan |
| author_facet | Haldorai, Anandakumar Ramu, Arulmurugan |
| author_role | aut aut |
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| dewey-full | 005.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7 |
| dewey-search | 005.7 |
| dewey-sort | 15.7 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV046655103 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T14:17:50Z |
| indexdate | 2024-07-20T06:38:27Z |
| institution | BVB |
| language | English |
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| oclc_num | 1150830875 |
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| spelling | Haldorai, Anandakumar Verfasser aut Big data analytics for sustainable computing Anandakumar Haldorai and Arulmurugan Ramu Hershey, Pennsylvania IGI Global 2019 1 Online-Ressource (21 PDFs (263 pages)) txt rdacontent c rdamedia cr rdacarrier Description based upon print version of record Description based on title screen (IGI Global, viewed 10/04/2019) Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative rese Big data Ramu, Arulmurugan aut Erscheint auch als Druck-Ausgabe 1522597506 9781522597506 |
| spellingShingle | Haldorai, Anandakumar Ramu, Arulmurugan Big data analytics for sustainable computing Big data |
| title | Big data analytics for sustainable computing |
| title_auth | Big data analytics for sustainable computing |
| title_exact_search | Big data analytics for sustainable computing |
| title_exact_search_txtP | Big data analytics for sustainable computing |
| title_full | Big data analytics for sustainable computing Anandakumar Haldorai and Arulmurugan Ramu |
| title_fullStr | Big data analytics for sustainable computing Anandakumar Haldorai and Arulmurugan Ramu |
| title_full_unstemmed | Big data analytics for sustainable computing Anandakumar Haldorai and Arulmurugan Ramu |
| title_short | Big data analytics for sustainable computing |
| title_sort | big data analytics for sustainable computing |
| topic | Big data |
| topic_facet | Big data |
| work_keys_str_mv | AT haldoraianandakumar bigdataanalyticsforsustainablecomputing AT ramuarulmurugan bigdataanalyticsforsustainablecomputing |