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HCI challenges and privacy preservation in big data security

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	HCI challenges and privacy preservation in big data security/ Daphne Lopez and M.A. Saleem Durai, editors.
其他作者:	Lopez, Daphne,
出版者:	Hershey, Pennsylvania :IGI Global, : [2017],
面頁冊數:	1 online resource (xviii, 275 p.)
提要註:	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.
標題:	Big data - Security measures. -
電子資源:	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:

433142
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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020 $a 9781522528647 (ebook)
020 $a 9781522528630 (hardcover)
035 $a (OCoLC)1001360426
035 $a 1071025156
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a QA76.9.A25 $b H3956 2018e
082 0 4 $a 005.8 $2 23
245 0 0 $a HCI challenges and privacy preservation in big data security $h [electronic resource] / $c Daphne Lopez and M.A. Saleem Durai, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2017]
300 $a 1 online resource (xviii, 275 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 $a 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.
650 0 $a Big data $x Security measures. $3 433142
650 0 $2 96060 $a Privacy, Right of. $3 229583
650 0 $a Human-computer interaction $x Security measures. $3 433143
700 1 $a Lopez, Daphne, $d 1967- $e editor. $3 433140
700 1 $a Durai, M. A. Saleem, $d 1974- $e editor. $3 433141
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2863-0

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