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Transactions on large-scale data- and knowledge-centered systems XXVI[electronic resource] :special issue on data warehousing and knowledge discovery /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.74
書名/作者:	Transactions on large-scale data- and knowledge-centered systems XXVI : special issue on data warehousing and knowledge discovery // edited by Abdelkader Hameurlain ... [et al.].
其他題名:	Transactions on large-scale data- and knowledge-centered systems 226
其他作者:	Hameurlain, Abdelkader.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2016.
面頁冊數:	xi, 109 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Databases
標題:	Data mining
標題:	Data warehousing
標題:	Big data - Congresses.
標題:	Computer Science.
標題:	Database Management.
標題:	Data Mining and Knowledge Discovery.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Information Storage and Retrieval.
標題:	Algorithm Analysis and Problem Complexity.
ISBN:	9783662497845
ISBN:	9783662497838
內容註:	Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data -- Frequent Item-set Border Approximation by Dualization -- Dynamic Materialization for Building Personalized Smart Cubes -- Opening up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS.
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 volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.
電子資源:	http://dx.doi.org/10.1007/978-3-662-49784-5

Transactions on large-scale data- and knowledge-centered systems XXVI[electronic resource] :special issue on data warehousing and knowledge discovery /
Transactions on large-scale data- and knowledge-centered systems XXVIspecial issue on data warehousing and knowledge discovery /[electronic resource] :Transactions on large-scale data- and knowledge-centered systems 226edited by Abdelkader Hameurlain ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xi, 109 p. :ill., digital ;24 cm. - Lecture notes in computer science,96700302-9743 ;. - Lecture notes in computer science ;7103..

Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data -- Frequent Item-set Border Approximation by Dualization -- Dynamic Materialization for Building Personalized Smart Cubes -- Opening up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS.

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 volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.

ISBN: 9783662497845

Standard No.: 10.1007/978-3-662-49784-5doiSubjects--Topical Terms:

154511
Databases

LC Class. No.: QA76.9.D32

Dewey Class. No.: 005.74

Transactions on large-scale data- and knowledge-centered systems XXVI[electronic resource] :special issue on data warehousing and knowledge discovery /
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