Future Data and Security Engineering

Tran Khanh Dang

ISBN 10: 3319261347 / ISBN 13: 9783319261348

Verlag: Springer International Publishing, Springer International Publishing Nov 2015, 2015

Beschreibung

Neuware -This book constitutes the refereed proceedings of the Second InternationalConference on Future Data and Security Engineering, FDSE 2015, held in Ho ChiMinh City, Vietnam, in November 2015. The 20 revised full papers and 3 short papers presented werecarefully reviewed and selected from 88 submissions. They have been organized inthe following topical sections: big data analytics and massive dataset mining; securityand privacy engineering; crowdsourcing and social network data analytics;sensor databases and applications in smart home and city; emerging data management systems and applications; context-based analysis and applications; and data models and advances in query processing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.

Bestandsnummer des Verkäufers 9783319261348

Bibliografische Details

• Titel: Future Data and Security Engineering
• Verlag: Springer International Publishing, Springer International Publishing Nov 2015
• Erscheinungsjahr: 2015
• Sprache: Englisch
• ISBN-10: 3319261347
• ISBN-13: 9783319261348
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 19 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 19 mm
• Gewicht: 517 Gramm

Über diesen Titel

Inhaltsangabe

This book constitutes the refereed proceedings of the Second International Conference on Future Data and Security Engineering, FDSE 2015, held in Ho Chi Minh City, Vietnam, in November 2015. The 20 revised full papers and 3 short papers presented were carefully reviewed and selected from 88 submissions. They have been organized in the following topical sections: big data analytics and massive dataset mining; security and privacy engineering; crowdsourcing and social network data analytics; sensor databases and applications in smart home and city; emerging data management systems and applications; context-based analysis and applications; and data models and advances in query processing.