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HCI challenges and privacy preservat...

Durai, M. A. Saleem, (1974-)

HCI challenges and privacy preservation in big data security[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	005.8
書名/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.)
標題:	Big data - Security measures.
標題:	Privacy, Right of.
標題:	Human-computer interaction - Security measures.
ISBN:	9781522528647 (ebook)
ISBN:	9781522528630 (hardcover)
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、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.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2863-0

HCI challenges and privacy preservation in big data security[electronic resource] /
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:

732843
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[electronic resource] /
LDR:02175nmm a2200265 a 4500 001 512368
003 IGIG
005 20181028102455.0
006 m o d
007 cr cn
008 210927t20172018pau fob 001 0 eng d
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 732843
650 0 $a Privacy, Right of. $3 341009
650 0 $a Human-computer interaction $x Security measures. $3 732844
700 1 $a Lopez, Daphne, $d 1967- $e editor. $3 732841
700 1 $a Durai, M. A. Saleem, $d 1974- $e editor. $3 732842
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2863-0

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