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HCI challenges and privacy preservat...
~
Lopez, Daphne, (1967-)
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HCI challenges and privacy preservation in big data security
Record Type:
Electronic resources : Monograph/item
Title/Author:
HCI challenges and privacy preservation in big data security/ Daphne Lopez and M.A. Saleem Durai, editors.
other author:
Lopez, Daphne,
Published:
Hershey, Pennsylvania :IGI Global, : [2017],
Description:
1 online resource (xviii, 275 p.)
[NT 15003449]:
Chapter 1. Human-computer interaction with big data analytics -- Chapter 2. Bio-inspired techniques in human-computer interface for control of assistive devices: bio-inspired techniques in assistive devices -- Chapter 3. Privacy preserving big data publishing: challenges, techniques, and architectures -- Chapter 4. Cryptography in big data security -- Chapter 5. A survey of big data analytics using machine learning algorithms -- Chapter 6. Big data analytics: an expedition through rapidly budding data exhaustive era -- Chapter 7. Prediction of cancer disease using classification techniques in map reduce programming model -- Chapter 8. Case studies in amalgamation of deep learning and big data.
Subject:
Big data - Security measures. -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2863-0
ISBN:
9781522528647 (ebook)
HCI challenges and privacy preservation in big data security
HCI challenges and privacy preservation in big data security
[electronic resource] /Daphne Lopez and M.A. Saleem Durai, editors. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (xviii, 275 p.)
Includes bibliographical references and index.
Chapter 1. Human-computer interaction with big data analytics -- Chapter 2. Bio-inspired techniques in human-computer interface for control of assistive devices: bio-inspired techniques in assistive devices -- Chapter 3. Privacy preserving big data publishing: challenges, techniques, and architectures -- Chapter 4. Cryptography in big data security -- Chapter 5. A survey of big data analytics using machine learning algorithms -- Chapter 6. Big data analytics: an expedition through rapidly budding data exhaustive era -- Chapter 7. Prediction of cancer disease using classification techniques in map reduce programming model -- Chapter 8. Case studies in amalgamation of deep learning and big data.
Restricted to subscribers or individual electronic text purchasers.
An informative scholarly publication that discusses how human-computer interaction impacts privacy and security in almost all sectors of modern life. Featuring relevant topics such as large scale security data, threat detection, big data encryption, and identity management, this reference source is ideal for academicians, researchers, advanced-level students, and engineers that are interested in staying current on the advancements and drawbacks of human-computer interaction within the world of big data.
ISBN: 9781522528647 (ebook)Subjects--Topical Terms:
3310623
Big data
--Security measures.
LC Class. No.: QA76.9.A25 / H3956 2018e
Dewey Class. No.: 005.8
HCI challenges and privacy preservation in big data security
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Daphne Lopez and M.A. Saleem Durai, editors.
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Includes bibliographical references and index.
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Chapter 1. Human-computer interaction with big data analytics -- Chapter 2. Bio-inspired techniques in human-computer interface for control of assistive devices: bio-inspired techniques in assistive devices -- Chapter 3. Privacy preserving big data publishing: challenges, techniques, and architectures -- Chapter 4. Cryptography in big data security -- Chapter 5. A survey of big data analytics using machine learning algorithms -- Chapter 6. Big data analytics: an expedition through rapidly budding data exhaustive era -- Chapter 7. Prediction of cancer disease using classification techniques in map reduce programming model -- Chapter 8. Case studies in amalgamation of deep learning and big data.
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Restricted to subscribers or individual electronic text purchasers.
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An informative scholarly publication that discusses how human-computer interaction impacts privacy and security in almost all sectors of modern life. Featuring relevant topics such as large scale security data, threat detection, big data encryption, and identity management, this reference source is ideal for academicians, researchers, advanced-level students, and engineers that are interested in staying current on the advancements and drawbacks of human-computer interaction within the world of big data.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2863-0
based on 0 review(s)
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1
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Attachments
W9344480
電子資源
11.線上閱覽_V
電子書
EB QA76.9.A25 H3956 2018e
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1 records • Pages 1 •
1
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