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Transactions on large-scale data- and knowledge-centered systems XXVII[electronic resource] :special issue on big data for complex urban systems /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	005.7
書名/作者:	Transactions on large-scale data- and knowledge-centered systems XXVII : special issue on big data for complex urban systems // edited by Abdelkader Hameurlain ... [et al.].
其他題名:	Transactions on large-scale data- and knowledge-centered systems 27
其他作者:	Hameurlain, Abdelkader.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2016.
面頁冊數:	xii, 209 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Information Storage and Retrieval.
標題:	Algorithm Analysis and Problem Complexity.
標題:	Computation by Abstract Devices.
標題:	Big data.
標題:	City planning - Data processing.
標題:	Internet in public administration.
標題:	Computer Science.
標題:	Database Management.
標題:	Data Mining and Knowledge Discovery.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783662534168
ISBN:	9783662534151
內容註:	Development of a Measurement Scale for User Satisfaction with E-Tax Systems in Australia -- Data Driven Governments: Creating Value through Open Government Data -- Collaborative Construction of an Open Official Gazette -- A Solution to Visualize Open Urban Data for Illegally Parked Bicycles -- An Intelligent Hot-Desking Model Based on Occupancy Sensor Data and Its Potential for Social Impact -- Characterization of Behavioral Patterns Exploiting Description of Geographical Areas -- Analysis of Customers' Spatial Distribution through Transaction Datasets -- Case Studies for Data-Oriented Emergency Management/Planning in Complex Urban Systems.
摘要、提要註:	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 27th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of 12 papers presented at the Big Data and Technology for Complex Urban Systems symposium, held in Kauai, HI, USA in January 2016. The papers explore the use of big data in complex urban systems in the areas of politics, society, commerce, tax, and emergency management.
電子資源:	http://dx.doi.org/10.1007/978-3-662-53416-8

Transactions on large-scale data- and knowledge-centered systems XXVII[electronic resource] :special issue on big data for complex urban systems /
Transactions on large-scale data- and knowledge-centered systems XXVIIspecial issue on big data for complex urban systems /[electronic resource] :Transactions on large-scale data- and knowledge-centered systems 27edited by Abdelkader Hameurlain ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xii, 209 p. :ill., digital ;24 cm. - Lecture notes in computer science,98600302-9743 ;. - Lecture notes in computer science ;7103..

Development of a Measurement Scale for User Satisfaction with E-Tax Systems in Australia -- Data Driven Governments: Creating Value through Open Government Data -- Collaborative Construction of an Open Official Gazette -- A Solution to Visualize Open Urban Data for Illegally Parked Bicycles -- An Intelligent Hot-Desking Model Based on Occupancy Sensor Data and Its Potential for Social Impact -- Characterization of Behavioral Patterns Exploiting Description of Geographical Areas -- Analysis of Customers' Spatial Distribution through Transaction Datasets -- Case Studies for Data-Oriented Emergency Management/Planning in Complex Urban Systems.

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 27th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of 12 papers presented at the Big Data and Technology for Complex Urban Systems symposium, held in Kauai, HI, USA in January 2016. The papers explore the use of big data in complex urban systems in the areas of politics, society, commerce, tax, and emergency management.

ISBN: 9783662534168

Standard No.: 10.1007/978-3-662-53416-8doiSubjects--Topical Terms:

464540
Information Storage and Retrieval.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Transactions on large-scale data- and knowledge-centered systems XXVII[electronic resource] :special issue on big data for complex urban systems /
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