| 000 | 03622cam a22005298i 4500 | ||
|---|---|---|---|
| 001 | 9781003284543 | ||
| 003 | FlBoTFG | ||
| 005 | 20240213122833.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 221003s2023 flu obf 001 0 eng | ||
| 040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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| 020 |
_a9781003284543 _q(ebook) |
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| 020 | _a100328454X | ||
| 020 |
_a9781000578362 _q(electronic bk. : PDF) |
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| 020 |
_a1000578364 _q(electronic bk. : PDF) |
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| 020 |
_a9781000578416 _q(electronic bk. : EPUB) |
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| 020 |
_a1000578410 _q(electronic bk. : EPUB) |
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| 020 |
_z9781774910528 _q(hardcover) |
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| 020 |
_z9781774910535 _q(paperback) |
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| 024 | 7 |
_a10.1201/9781003284543 _2doi |
|
| 035 | _a(OCoLC)1346418545 | ||
| 035 | _a(OCoLC-P)1346418545 | ||
| 050 | 0 | 0 | _aQA76.9.B45 |
| 072 | 7 |
_aCOM _x018000 _2bisacsh |
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| 072 | 7 |
_aYQS _2bicssc |
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| 082 | 0 |
_a005.7 _223 |
|
| 100 | 1 |
_aSasikala, S., _d1970- _eauthor. |
|
| 245 | 1 | 0 |
_aResearch practitioner's handbook on big data analytics / _cS. Sasikala, PhD, D. Renuka Devi, Raghvendra Kumar, PhD. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aPalm Bay, FL, USA ; _aBurlington, ON, Canada : _bApple Academic Press ; _aBoca Raton, FL, USA ; _aAbingdon, Oxon, UK : _bCRC Press, _c2023. |
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| 300 | _a1 online resource. | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 520 |
_a"With the growing interest in and use of big data analytics in many industries and in many research fields around the globe, this new volume addresses the need for a comprehensive resource on the core concepts of big data analytics along with the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches. The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents a selection of illustrative case studies that show examples of the use of data analytics in industries such as health care, business, education, and social media. Research Practitioner's Handbook on Big Data Analytics will be a valuable addition to the libraries of practitioners in data collection in many industries along with research scholars and faculty in the domain of big data analytics. The book can also serve as a handy textbook for courses in data collection, data mining, and big data analytics."-- _cProvided by publisher. |
||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aBig data _vHandbooks, manuals, etc. |
|
| 650 | 0 |
_aBig data _xResearch _vHandbooks, manuals, etc. |
|
| 650 | 0 |
_aData mining _vHandbooks, manuals, etc. |
|
| 650 | 0 |
_aElectronic data processing _vHandbooks, manuals, etc. |
|
| 650 | 7 |
_aCOMPUTERS / Data Processing / General _2bisacsh |
|
| 700 | 1 |
_aDevi, D. Renuka, _d1980- _eauthor. |
|
| 700 | 1 |
_aKumar, Raghvendra, _d1987- _eauthor. |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003284543 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c6201 _d6201 |
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