Handbook of research on pattern engineering system development for big data analytics:
"This book investigates the incorporation of pattern management in business technologies as well as decision-making and prediction process. It brings together the common issues of data management and analytics. It uncovers the various strategies, techniques and approaches which may improve the...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book investigates the incorporation of pattern management in business technologies as well as decision-making and prediction process. It brings together the common issues of data management and analytics. It uncovers the various strategies, techniques and approaches which may improve the organization's pattern management power and helps for quick and efficient decision-making"-- |
| Beschreibung: | 33 PDFs (xxviii, 396 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522538714 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Handbook of research on pattern engineering system development for big data analytics |c Vivek Tiwari, Ramjeevan Singh Thakur, Basant Tiwari, and Shailendra Gupta, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2018] | |
| 300 | |a 33 PDFs (xxviii, 396 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Section 1. Applications and approaches to big data. Chapter 1. Big data challenges and solutions in the medical industries ; Chapter 2. Investigation on deep learning approach for big data: applications and challenges ; Chapter 3. An application of big data analytics in road transportation ; Chapter 4. Big data and analytics: application to healthcare industry ; Chapter 5. Insight into big data analytics: challenges, recent trends, and future prospects ; Chapter 6. Big data analytics tools and platform in big data landscape -- Section 2. Data mining and computing. Chapter 7. Harnessing collective intelligence through pattern mining in social computational systems ; Chapter 8. Machine learning models for forecasting of individual stocks price patterns ; Chapter 9. Sentiment analysis: using artificial neural fuzzy inference system ; Chapter 10. A relative performance of dissimilarity measures for matching relational web access patterns between user sessions ; Chapter 11. Wavelet transform algorithms ; Chapter 12. Web access patterns of actual human visitors and web robots: a correlated examination ; Chapter 13. Web usage mining: concept and applications at a glance ; Chapter 14. Management and monitoring patterns and future scope -- Section 3. Data-oriented security and networking. Chapter 15. Secure opportunistic routing for vehicular adhoc networks ; Chapter 16. Detection approaches for categorization of spam and legitimate e-mail ; Chapter 17. Video steganography using two-level SWT and SVD ; Chapter 18. Overview of concept drifts detection methodology in data stream ; Chapter 19. Fast fractal image compression by kicking out similar domain images ; Chapter 20. Performance analysis of mail clients on low cost computer with elgamal and RSA using SNORT. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book investigates the incorporation of pattern management in business technologies as well as decision-making and prediction process. It brings together the common issues of data management and analytics. It uncovers the various strategies, techniques and approaches which may improve the organization's pattern management power and helps for quick and efficient decision-making"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 03/27/2018). | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 700 | 1 | |a Gupta, Shailendra, |e editor. | |
| 700 | 1 | |a Thakur, Ramjeevan Singh |d 1974- |e editor. | |
| 700 | 1 | |a Tiwari, Basant |d 1975- |e editor. | |
| 700 | 1 | |a Tiwari, Vivek |d 1982- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2017022957 | |
| 776 | 0 | 8 | |i Print version: |z 1522538704 |z 9781522538707 |w (DLC) 2017022957 |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
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| author2 | Gupta, Shailendra Thakur, Ramjeevan Singh 1974- Tiwari, Basant 1975- Tiwari, Vivek 1982- |
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| author_facet | Gupta, Shailendra Thakur, Ramjeevan Singh 1974- Tiwari, Basant 1975- Tiwari, Vivek 1982- |
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| contents | Section 1. Applications and approaches to big data. Chapter 1. Big data challenges and solutions in the medical industries ; Chapter 2. Investigation on deep learning approach for big data: applications and challenges ; Chapter 3. An application of big data analytics in road transportation ; Chapter 4. Big data and analytics: application to healthcare industry ; Chapter 5. Insight into big data analytics: challenges, recent trends, and future prospects ; Chapter 6. Big data analytics tools and platform in big data landscape -- Section 2. Data mining and computing. Chapter 7. Harnessing collective intelligence through pattern mining in social computational systems ; Chapter 8. Machine learning models for forecasting of individual stocks price patterns ; Chapter 9. Sentiment analysis: using artificial neural fuzzy inference system ; Chapter 10. A relative performance of dissimilarity measures for matching relational web access patterns between user sessions ; Chapter 11. Wavelet transform algorithms ; Chapter 12. Web access patterns of actual human visitors and web robots: a correlated examination ; Chapter 13. Web usage mining: concept and applications at a glance ; Chapter 14. Management and monitoring patterns and future scope -- Section 3. Data-oriented security and networking. Chapter 15. Secure opportunistic routing for vehicular adhoc networks ; Chapter 16. Detection approaches for categorization of spam and legitimate e-mail ; Chapter 17. Video steganography using two-level SWT and SVD ; Chapter 18. Overview of concept drifts detection methodology in data stream ; Chapter 19. Fast fractal image compression by kicking out similar domain images ; Chapter 20. Performance analysis of mail clients on low cost computer with elgamal and RSA using SNORT. |
| ctrlnum | (CaBNVSL)slc19647818 (OCoLC)1029785866 |
| 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 |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00181764 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-16T15:51:50Z |
| institution | BVB |
| isbn | 9781522538714 |
| language | English |
| oclc_num | 1029785866 |
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| physical | 33 PDFs (xxviii, 396 pages) Also available in print. |
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| spelling | Handbook of research on pattern engineering system development for big data analytics Vivek Tiwari, Ramjeevan Singh Thakur, Basant Tiwari, and Shailendra Gupta, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2018] 33 PDFs (xxviii, 396 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 1. Applications and approaches to big data. Chapter 1. Big data challenges and solutions in the medical industries ; Chapter 2. Investigation on deep learning approach for big data: applications and challenges ; Chapter 3. An application of big data analytics in road transportation ; Chapter 4. Big data and analytics: application to healthcare industry ; Chapter 5. Insight into big data analytics: challenges, recent trends, and future prospects ; Chapter 6. Big data analytics tools and platform in big data landscape -- Section 2. Data mining and computing. Chapter 7. Harnessing collective intelligence through pattern mining in social computational systems ; Chapter 8. Machine learning models for forecasting of individual stocks price patterns ; Chapter 9. Sentiment analysis: using artificial neural fuzzy inference system ; Chapter 10. A relative performance of dissimilarity measures for matching relational web access patterns between user sessions ; Chapter 11. Wavelet transform algorithms ; Chapter 12. Web access patterns of actual human visitors and web robots: a correlated examination ; Chapter 13. Web usage mining: concept and applications at a glance ; Chapter 14. Management and monitoring patterns and future scope -- Section 3. Data-oriented security and networking. Chapter 15. Secure opportunistic routing for vehicular adhoc networks ; Chapter 16. Detection approaches for categorization of spam and legitimate e-mail ; Chapter 17. Video steganography using two-level SWT and SVD ; Chapter 18. Overview of concept drifts detection methodology in data stream ; Chapter 19. Fast fractal image compression by kicking out similar domain images ; Chapter 20. Performance analysis of mail clients on low cost computer with elgamal and RSA using SNORT. Restricted to subscribers or individual electronic text purchasers. "This book investigates the incorporation of pattern management in business technologies as well as decision-making and prediction process. It brings together the common issues of data management and analytics. It uncovers the various strategies, techniques and approaches which may improve the organization's pattern management power and helps for quick and efficient decision-making"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 03/27/2018). Big data. Pattern recognition systems. Gupta, Shailendra, editor. Thakur, Ramjeevan Singh 1974- editor. Tiwari, Basant 1975- editor. Tiwari, Vivek 1982- editor. IGI Global, publisher. (Original) (DLC)2017022957 Print version: 1522538704 9781522538707 (DLC) 2017022957 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3870-7 Volltext |
| spellingShingle | Handbook of research on pattern engineering system development for big data analytics Section 1. Applications and approaches to big data. Chapter 1. Big data challenges and solutions in the medical industries ; Chapter 2. Investigation on deep learning approach for big data: applications and challenges ; Chapter 3. An application of big data analytics in road transportation ; Chapter 4. Big data and analytics: application to healthcare industry ; Chapter 5. Insight into big data analytics: challenges, recent trends, and future prospects ; Chapter 6. Big data analytics tools and platform in big data landscape -- Section 2. Data mining and computing. Chapter 7. Harnessing collective intelligence through pattern mining in social computational systems ; Chapter 8. Machine learning models for forecasting of individual stocks price patterns ; Chapter 9. Sentiment analysis: using artificial neural fuzzy inference system ; Chapter 10. A relative performance of dissimilarity measures for matching relational web access patterns between user sessions ; Chapter 11. Wavelet transform algorithms ; Chapter 12. Web access patterns of actual human visitors and web robots: a correlated examination ; Chapter 13. Web usage mining: concept and applications at a glance ; Chapter 14. Management and monitoring patterns and future scope -- Section 3. Data-oriented security and networking. Chapter 15. Secure opportunistic routing for vehicular adhoc networks ; Chapter 16. Detection approaches for categorization of spam and legitimate e-mail ; Chapter 17. Video steganography using two-level SWT and SVD ; Chapter 18. Overview of concept drifts detection methodology in data stream ; Chapter 19. Fast fractal image compression by kicking out similar domain images ; Chapter 20. Performance analysis of mail clients on low cost computer with elgamal and RSA using SNORT. Big data. Pattern recognition systems. |
| title | Handbook of research on pattern engineering system development for big data analytics |
| title_auth | Handbook of research on pattern engineering system development for big data analytics |
| title_exact_search | Handbook of research on pattern engineering system development for big data analytics |
| title_full | Handbook of research on pattern engineering system development for big data analytics Vivek Tiwari, Ramjeevan Singh Thakur, Basant Tiwari, and Shailendra Gupta, editors. |
| title_fullStr | Handbook of research on pattern engineering system development for big data analytics Vivek Tiwari, Ramjeevan Singh Thakur, Basant Tiwari, and Shailendra Gupta, editors. |
| title_full_unstemmed | Handbook of research on pattern engineering system development for big data analytics Vivek Tiwari, Ramjeevan Singh Thakur, Basant Tiwari, and Shailendra Gupta, editors. |
| title_short | Handbook of research on pattern engineering system development for big data analytics |
| title_sort | handbook of research on pattern engineering system development for big data analytics |
| topic | Big data. Pattern recognition systems. |
| topic_facet | Big data. Pattern recognition systems. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3870-7 |
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