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Handbook of research on pattern engi...

Tiwari, Vivek, (1982-)

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Handbook of research on pattern engineering system development for big data analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Handbook of research on pattern engineering system development for big data analytics/ Vivek Tiwari, Ramjeevan Singh Thakur, Basant Tiwari, and Shailendra Gupta, editors.
其他作者:	Tiwari, Vivek,
出版者:	Hershey, Pennsylvania :IGI Global, : [2018],
面頁冊數:	1 online resource (xxviii, 396 p.)
內容註:	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.
標題:	Big data. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3870-7
ISBN:	9781522538714 (ebook)

Handbook of research on pattern engineering system development for big data analytics
Handbook of research on pattern engineering system development for big data analytics[electronic resource] /Vivek Tiwari, Ramjeevan Singh Thakur, Basant Tiwari, and Shailendra Gupta, editors. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xxviii, 396 p.)

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"--

ISBN: 9781522538714 (ebook)Subjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45 / H38 2018e

Dewey Class. No.: 005.7

Handbook of research on pattern engineering system development for big data analytics
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300 $a 1 online resource (xxviii, 396 p.)
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.
650 0 $a Big data. $3 2045508
650 0 $a Pattern recognition systems. $3 527885
700 1 $a Tiwari, Vivek, $d 1982- $e editor. $3 3311085
700 1 $a Thakur, Ramjeevan Singh, $d 1974- $e editor. $3 3311086
700 1 $a Tiwari, Basant, $d 1975- $e editor. $3 3311087
700 1 $a Gupta, Shailendra, $e editor. $3 3311088
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3870-7