Nature-inspired algorithms for big data frameworks:
"This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the rol...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hershey, PA
IGI Global
[2019]
|
| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series
Premier reference source |
| Schlagworte: | |
| Zusammenfassung: | "This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the role of machine learning techniques for the optimization and learning involving data intensive applications"... |
| Beschreibung: | Includes bibliographical references |
| Beschreibung: | xxii, 412 pages illustrations |
| ISBN: | 9781522558521 |
Internformat
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| 245 | 1 | 0 | |a Nature-inspired algorithms for big data frameworks |c Hema Banati, Shikha Mehta, Parmeet Kaur |
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| 650 | 4 | |a Evolutionary programming (Computer science) | |
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Datensatz im Suchindex
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| discipline | Informatik |
| format | Book |
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| id | DE-604.BV045244285 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:12:38Z |
| institution | BVB |
| isbn | 9781522558521 |
| language | English |
| lccn | 017059210 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030632421 |
| oclc_num | 1077683875 |
| open_access_boolean | |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | xxii, 412 pages illustrations |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | IGI Global |
| record_format | marc |
| series2 | Advances in computational intelligence and robotics (ACIR) book series Premier reference source |
| spelling | Nature-inspired algorithms for big data frameworks Hema Banati, Shikha Mehta, Parmeet Kaur Hershey, PA IGI Global [2019] xxii, 412 pages illustrations txt rdacontent n rdamedia nc rdacarrier Advances in computational intelligence and robotics (ACIR) book series Premier reference source Includes bibliographical references "This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the role of machine learning techniques for the optimization and learning involving data intensive applications"... Evolutionary programming (Computer science) Evolutionary computation Computer algorithms Big data Banati, Hema 1970- (DE-588)1185996656 edt Mehta, Shikha edt Kaur, Parmeet edt Erscheint auch als Online-Ausgabe 9781522558538 |
| spellingShingle | Nature-inspired algorithms for big data frameworks Evolutionary programming (Computer science) Evolutionary computation Computer algorithms Big data |
| title | Nature-inspired algorithms for big data frameworks |
| title_auth | Nature-inspired algorithms for big data frameworks |
| title_exact_search | Nature-inspired algorithms for big data frameworks |
| title_full | Nature-inspired algorithms for big data frameworks Hema Banati, Shikha Mehta, Parmeet Kaur |
| title_fullStr | Nature-inspired algorithms for big data frameworks Hema Banati, Shikha Mehta, Parmeet Kaur |
| title_full_unstemmed | Nature-inspired algorithms for big data frameworks Hema Banati, Shikha Mehta, Parmeet Kaur |
| title_short | Nature-inspired algorithms for big data frameworks |
| title_sort | nature inspired algorithms for big data frameworks |
| topic | Evolutionary programming (Computer science) Evolutionary computation Computer algorithms Big data |
| topic_facet | Evolutionary programming (Computer science) Evolutionary computation Computer algorithms Big data |
| work_keys_str_mv | AT banatihema natureinspiredalgorithmsforbigdataframeworks AT mehtashikha natureinspiredalgorithmsforbigdataframeworks AT kaurparmeet natureinspiredalgorithmsforbigdataframeworks |