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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI PDF Author: Abdelkader Hameurlain
Publisher: Springer
ISBN: 3662562669
Category : Computers
Languages : en
Pages : 193

Book Description
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.

Transactions on large-scale data- and knowledge-centered systems

Transactions on large-scale data- and knowledge-centered systems PDF Author: [Anonymus AC07900083]
Publisher:
ISBN:
Category :
Languages : de
Pages : 372

Book Description


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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII PDF Author: Abdelkader Hameurlain
Publisher: Springer
ISBN: 3662579324
Category : Computers
Languages : en
Pages : 200

Book Description
This, the 37th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include data security in clouds, privacy languages, probabilistic modelling in linked data integration, business intelligence based on multi-agent systems, collaborative filtering, and prediction accuracy.

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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV PDF Author: Abdelkader Hameurlain
Publisher: Springer Nature
ISBN: 3662622718
Category : Computers
Languages : en
Pages : 195

Book Description
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 (e.g., computing resources, services, metadata, data sources) 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. This, the 44th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised and extended papers selected from the 35th conference on Data Management – Principles, Technologies and Applications, BDA 2019. The topics covered include big data, graph data streams, workflow execution in the cloud, privacy in crowdsourcing, secure distributed computing, machine learning, and data mining for recommendation systems.

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

Transactions on Large-Scale Data- and Knowledge-Centered Systems V PDF Author: Abdelkader Hameurlain
Publisher: Springer Science & Business Media
ISBN: 3642281478
Category : Business & Economics
Languages : en
Pages : 230

Book Description
This fifth issue of the LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems offers nine full-length focusing on such hot topics as data management, knowledge discovery, and knowledge processing.

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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XX PDF Author: Abdelkader Hameurlain
Publisher: Springer
ISBN: 3662467038
Category : Computers
Languages : en
Pages : 159

Book Description
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 20th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, presents a representative and useful selection of articles covering a wide range of important topics in the domain of advanced techniques for big data management. Big data has become a popular term, used to describe the exponential growth and availability of data. The recent radical expansion and integration of computation, networking, digital devices, and data storage has provided a robust platform for the explosion in big data, as well as being the means by which big data are generated, processed, shared, and analyzed. In general, data are only useful if meaning and value can be extracted from them. Big data discovery enables data scientists and other analysts to uncover patterns and correlations through analysis of large volumes of data of diverse types. Insights gleaned from big data discovery can provide businesses with significant competitive advantages, leading to more successful marketing campaigns, decreased customer churn, and reduced loss from fraud. In practice, the growing demand for large-scale data processing and data analysis applications has spurred the development of novel solutions from both industry and academia.

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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XIII PDF Author: Abdelkader Hameurlain
Publisher: Springer
ISBN: 3642544266
Category : Computers
Languages : en
Pages : 194

Book Description
This, the 13th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains six revised selected regular papers. Topics covered include federated data sources, information filtering, web data clouding, query reformulation, package skyline queries and SPARQL query processing over a LaV (Local-as-View) integration system.

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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII PDF Author: Abdelkader Hameurlain
Publisher: Springer
ISBN: 3662534169
Category : Computers
Languages : en
Pages : 209

Book Description
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.

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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII PDF Author: Abdelkader Hameurlain
Publisher: Springer Nature
ISBN: 3662621991
Category : Computers
Languages : en
Pages : 139

Book Description
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 (e.g., computing resources, services, metadata, data sources) 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. This, the 43rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include classification tasks, machine learning algorithms, top-k queries, business process redesign and a knowledge capitalization framework.

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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII PDF Author: Abdelkader Hameurlain
Publisher: Springer
ISBN: 3662485672
Category : Computers
Languages : en
Pages : 185

Book Description
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 22nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six revised selected regular papers. Topics covered include algorithms for large-scale private analysis, modelling of entities from social and digital worlds and their relations, querying virtual security views of XML data, recommendation approaches using diversity-based clustering scores, hypothesis discovery, and data aggregation techniques in sensor netwo rk environments.