Integrating deep learning algorithms to overcome challenges in big data analytics / (Record no. 70314)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03143cam a22005778i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781003038450 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711212055.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210413s2022 flu ob 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781003038450 |
| -- | (ebk) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 100303845X |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781000454543 |
| -- | (electronic bk. : EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1000454541 |
| -- | (electronic bk. : EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781000454536 |
| -- | (electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1000454533 |
| -- | (electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (hbk) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (pbk) |
| 082 00 - CLASSIFICATION NUMBER | |
| Call Number | 006.3/1 |
| 245 00 - TITLE STATEMENT | |
| Title | Integrating deep learning algorithms to overcome challenges in big data analytics / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource. |
| 490 0# - SERIES STATEMENT | |
| Series statement | Green engineering and technology: concepts and applications |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems. This book discusses how big data along with deep learning holds the potential to significantly increase data understanding and decision making. It also covers numerous applications in healthcare, education, communications, media, and the entertainment industry. The book offers innovative platforms for integrating big data and deep learning and presents issues related to adequate data store, sematic indexing, data tagging, and fast information retrieval. The audience includes industry professionals, academic professors, research scholars, system modelling, and simulation experts"-- |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Industrial applications. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Industrial applications. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Sujatha, R. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Aarthy, S. L., |
| 700 1# - AUTHOR 2 | |
| Author 2 | Vettriselvan, R., |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.taylorfrancis.com/books/9781003038450 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Boca Raton : |
| -- | CRC Press, |
| -- | 2022. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
| 588 ## - | |
| -- | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Algorithms. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | TECHNOLOGY / Manufacturing |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Database Management / Data Mining |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Artificial Intelligence |
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