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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXI: Special Issue on Data and Security Engineering

✍ Scribed by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Tran Khanh Dang, Nam Thoai (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2017
Tongue
English
Leaves
155
Series
Lecture Notes in Computer Science 10140
Edition
1
Category
Library

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✦ Synopsis


The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.

This, the 31st issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six revised selected papers from the 2nd International Conference on Future Data and Security Engineering, FDSE 2015, and the 9th International Conference on Advanced Computing and Applications, ACOMP 2015, which were held in Ho Chi Minh City, Vietnam, in November 2015. Topics covered include big data analytics, data models and languages, security and privacy, complex business services, and cloud data management.

✦ Table of Contents


Front Matter....Pages I-IX
User-Centered Design of Geographic Interactive Applications: From High-Level Specification to Code Generation, from Prototypes to Better Specifications....Pages 1-29
Applying Data Analytic Techniques for Fault Detection....Pages 30-46
Protecting Biometrics Using Fuzzy Extractor and Non-invertible Transformation Methods in Kerberos Authentication Protocol....Pages 47-66
Parallel Learning of Local SVM Algorithms for Classifying Large Datasets....Pages 67-93
Contractual Specifications of Business Services: Modeling, Formalization and Proximity....Pages 94-123
Energy-Saving Virtual Machine Scheduling in Cloud Computing with Fixed Interval Constraints....Pages 124-145
Back Matter....Pages 147-147

✦ Subjects


Data Mining and Knowledge Discovery;Algorithm Analysis and Problem Complexity;Management of Computing and Information Systems;Data Encryption;Information Systems Applications (incl. Internet);Systems and Data Security


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