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Transactions on Large-Scale Data- and Knowledge-Centered Systems XL
Author: Abdelkader Hameurlain
Publisher: Springer
Published: 2019-01-04
Total Pages: 167
ISBN-13: 3662586649
DOWNLOAD EBOOK →This, the 40th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include personalized social query expansion approaches, continuous query on social media streams, elastic processing systems, and semantic interoperability for smart grids and NoSQL environments.
Transactions on Large-Scale Data- and Knowledge-Centered Systems V
Author: Abdelkader Hameurlain
Publisher: Springer Science & Business Media
Published: 2012-02-10
Total Pages: 230
ISBN-13: 3642281478
DOWNLOAD EBOOK →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 XIII
Author: Abdelkader Hameurlain
Publisher: Springer
Published: 2014-07-08
Total Pages: 194
ISBN-13: 3642544266
DOWNLOAD EBOOK →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 XXII
Author: Abdelkader Hameurlain
Publisher: Springer
Published: 2015-11-07
Total Pages: 185
ISBN-13: 3662485672
DOWNLOAD EBOOK →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.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XII
Author: Abdelkader Hameurlain
Publisher: Springer
Published: 2013-12-06
Total Pages: 136
ISBN-13: 3642453155
DOWNLOAD EBOOK →This, the 12th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include schema matching and schema mapping, update propagation in decision support systems, routing methods in peer-to-peer systems, distributed stream analytics and dynamic data partitioning.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII
Author: Abdelkader Hameurlain
Publisher: Springer Nature
Published: 2021-01-16
Total Pages: 247
ISBN-13: 3662629194
DOWNLOAD EBOOK →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. This, the 47th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, constitutes a special issue focusing on Digital Ecosystems and Social Networks. The 9 revised selected papers cover topics that include Social Big Data, Data Analysis, Cloud-Based Feedback, Experience Ecosystems, Pervasive Environments, and Smart Systems.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX
Author: Abdelkader Hameurlain
Publisher: Springer
Published: 2018-11-22
Total Pages: 227
ISBN-13: 3662584158
DOWNLOAD EBOOK →This, the 39th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of seven papers selected from the 37 contributions presented at the 28th International Conference on Database and Expert Systems Applications, DEXA 2017, held in Lyon, France, in August 2017. Topics covered include knowledge bases, clustering algorithms, parallel frequent itemset mining, model-driven engineering, virtual machines, recommendation systems, and federated SPARQL query processing.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV
Author: Abdelkader Hameurlain
Publisher: Springer
Published: 2016-02-19
Total Pages: 187
ISBN-13: 3662495341
DOWNLOAD EBOOK →This, the 25th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully revised selected papers focusing on data and knowledge management systems. Topics covered include a framework consisting of two heuristics with slightly different characteristics to compute the action rating of data stores, a theoretical and experimental study of filter-based equijoins in a MapReduce environment, a constraint programming approach based on constraint reasoning to study the view selection and data placement problem given a limited amount of resources, a formalization and an approximate algorithm to tackle the problem of source selection and query decomposition in federations of SPARQL endpoints, and a matcher factory enabling the generation of a dedicated schema matcher for a given schema matching scenario.
Transactions on Large-Scale Data- and Knowledge-Centered Systems I
Author: Abdelkader Hameurlain
Publisher: Springer
Published: 2009-08-24
Total Pages: 382
ISBN-13: 3642037224
DOWNLOAD EBOOK →Data management, knowledge discovery, and knowledge processing are core and hot topics in computer science. They are widely accepted as enabling technologies for modern enterprises, enhancing their performance and their decision making processes. Since the 1990s the Internet has been the outstanding driving force for application development in all domains. An increase in the demand for resource sharing (e. g. , computing resources, s- vices, metadata, data sources) across different sites connected through networks has led to an evolvement of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications prov- ing high scalability. Current decentralized systems still focus on data and knowledge as their main resource characterized by: heterogeneity of nodes, data, and knowledge autonomy of data and knowledge sources and services large-scale data volumes, high numbers of data sources, users, computing resources dynamicity of nodes These characteristics recognize: (i) limitations of methods and techniques developed for centralized systems (ii) requirements to extend or design new approaches and methods enhancing efficiency, dynamicity, and scalability (iii) development of large scale, experimental platforms and relevant benchmarks to evaluate and validate scaling Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and agent systems supporting 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.
