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
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Handbook of research on pattern engineering system development for big data analytics/ Vivek Tiwari, Ramjeevan Singh Thakur, Basant Tiwari, and Shailendra Gupta, editors.
    other author: Tiwari, Vivek,
    Published: Hershey, Pennsylvania :IGI Global, : [2018],
    Description: 1 online resource (xxviii, 396 p.)
    [NT 15003449]: 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.
    Subject: Big data. -
    Online resource: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3870-7
    ISBN: 9781522538714 (ebook)
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W9344701 電子資源 11.線上閱覽_V 電子書 EB QA76.9.B45 H38 2018e 一般使用(Normal) On shelf 0
  • 1 records • Pages 1 •
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