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130323s2013 xxu| s |||| 0|eng d |
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|a 9781461464099
|9 978-1-4614-6409-9
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|a 10.1007/978-1-4614-6409-9
|2 doi
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|a QA76.9.A25
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|a UR
|2 bicssc
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|a UTN
|2 bicssc
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|a COM053000
|2 bisacsh
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|a 005.8
|2 23
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|a Harvey, Inman.
|e editor.
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|a SmartData
|b Privacy Meets Evolutionary Robotics /
|c edited by Inman Harvey, Ann Cavoukian, George Tomko, Don Borrett, Hon Kwan, Dimitrios Hatzinakos.
|h [electronic resource] :
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2013.
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300 |
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|a X, 211 p. 33 illus., 10 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Privacy by Design and the Promise of SmartData -- SmartData: the Need, the Goal and the Challenge -- Perspectives on Artificial Intelligence -- Context dependent information processing entails scale-free dynamics -- Philosophy and SmartData -- Relevance Realization and the Neurodynamics and Neural Connectivity of General Intelligence -- What Matters: Real Bodies and Virtual Worlds -- The development of autonomous virtual agents -- Patterns of Attractors in the Brain" -- A Privacy-Enabled Mobile Computing Model Using Intelligent Cloud-Based Services -- Unconstraint the Population: the Benefits of Horizontal Gene Transfer in Genetic Algorithms.-�A robust system for distributed data mining and preserving-privacy -- A Distributed Mobile Application for Data Collection with Intelligent Agent Based Data Management Policy.-�Security Risks Assessment Based on Intelligent Systems and Attack Graphs -- An adaptive Intelligent Fuzzy Logic Classifier for Data Security and Privacy in Large Databases -- The Security Architecture Discipline as Catalyst to Effect Secure SmartData Design -- Trust and Non Person Entities SmartData as NPE Candidate.-�Privacy-Enabled Mobile-Health (mHealth)-based Diabetic Solution.
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520 |
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|a SmartData empowers personal data by wrapping it in a cloak of intelligence such that it now becomes the individual s virtual proxy in cyberspace. No longer will personal data be shared or stored in the cloud as merely data, encrypted or otherwise; it will now be stored and shared as a constituent of the binary string specifying the entire SmartData agent. This agent proactively builds-in privacy, security and user preferences, right from the outset, not as an afterthought. SmartData: Privacy Meets Evolutionary Robotics includes the advances made in the technology of simulating virtual worlds, together with the ideas emerging from fields of evolutionary robotics and embodied cognition within a framework of dynamical systems as an approach toward this ultimate goal. The book brings together top researchers in the field and addresses current personal data privacy challenges in the online-world.
|
650 |
# |
0 |
|a Computer science.
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650 |
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|a Data protection.
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650 |
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|a Artificial intelligence.
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650 |
1 |
4 |
|a Computer Science.
|
650 |
2 |
4 |
|a Systems and Data Security.
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650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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650 |
2 |
4 |
|a Information Systems Applications (incl. Internet).
|
700 |
1 |
# |
|a Cavoukian, Ann.
|e editor.
|
700 |
1 |
# |
|a Tomko, George.
|e editor.
|
700 |
1 |
# |
|a Borrett, Don.
|e editor.
|
700 |
1 |
# |
|a Kwan, Hon.
|e editor.
|
700 |
1 |
# |
|a Hatzinakos, Dimitrios.
|e editor.
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710 |
2 |
# |
|a SpringerLink (Online service)
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773 |
0 |
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|t Springer eBooks
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776 |
0 |
8 |
|i Printed edition:
|z 9781461464082
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856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-6409-9
|
912 |
# |
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
|