Transactions On Large Scale Data And Knowledge Centered Systems Xxxvi

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI

This volume, the 36th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised, extended papers selected from the 3rd International Conference on Future Data and Security Engineering, FDSE 2016, and the 10th International Conference on Advanced Computing and Applications, ACOMP 2016, which were held in Can Tho City, Vietnam, in November 2016. Topics covered include big data analytics, massive dataset mining, security and privacy, cryptography, access control, deep learning, crowd sourcing, database watermarking, and query processing and optimization.
Digital Transformation and Global Society

Author: Daniel A. Alexandrov
language: en
Publisher: Springer Nature
Release Date: 2020-01-03
This volume constitutes the refereed proceedings of the 4th International Conference on Digital Transformation and Global Society, DTGS 2019, held in St. Petersburg, Russia, in June 2019. The 56 revised full papers and 9 short papers presented in the volume were carefully reviewed and selected from 194 submissions. The papers are organized in topical sections on e-polity: governance; e-polity: politics online; e-city: smart cities and urban planning; e-economy: online consumers and solutions; e-society: computational social science; e-society: humanities and education; international workshop on internet psychology; international workshop on computational linguistics.
Electronic Governance and Open Society: Challenges in Eurasia

This book constitutes the refereed proceedings of the 7th Conference on Electronic Governance and Open Society: Challenges in Eurasia, EGOSE 2020, held in St. Petersburg, Russia, in November 2020. The 35 full papers and 5 short papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on digital government: services, policies, laws, practices, surveillance; digital society: openness, participation, trust, competences; digital data: data science, methods, modelling, AI, NLP.