Transactions On Large Scale Data And Knowledge Centered Systems Xxxiii
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Author |
: Abdelkader Hameurlain |
Publisher |
: Springer |
Total Pages |
: 194 |
Release |
: 2017-08-07 |
ISBN-10 |
: 9783662556962 |
ISBN-13 |
: 3662556960 |
Rating |
: 4/5 (62 Downloads) |
Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIII by : Abdelkader Hameurlain
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 33rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include distributed massive data streams, storage systems, scientific workflow scheduling, cost optimization of data flows, and fusion strategies.
Author |
: Abdelkader Hameurlain |
Publisher |
: Springer Nature |
Total Pages |
: 135 |
Release |
: 2019-10-17 |
ISBN-10 |
: 9783662605318 |
ISBN-13 |
: 3662605317 |
Rating |
: 4/5 (18 Downloads) |
Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII by : Abdelkader Hameurlain
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 42nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, consists of five revised selected regular papers, presenting the following topics: Privacy-Preserving Top-k Query Processing in Distributed Systems; Trust Factors and Insider Threats in Permissioned Distributed Ledgers: An Analytical Study and Evaluation of Popular DLT Frameworks; Polystore and Tensor Data Model for Logical Data Independence and Impedance Mismatch in Big Data Analytics; A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence; Rejig: A Scalable Online Algorithm for Cache Server Configuration Changes.
Author |
: Abdelkader Hameurlain |
Publisher |
: Springer Nature |
Total Pages |
: 197 |
Release |
: 2021-05-17 |
ISBN-10 |
: 9783662635193 |
ISBN-13 |
: 3662635194 |
Rating |
: 4/5 (93 Downloads) |
Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVIII by : Abdelkader Hameurlain
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 48th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains 8 invited papers dedicated to the memory of Prof. Dr. Roland Wagner. The topics covered include distributed database systems, NewSQL, scalable transaction management, strong consistency, caches, data warehouse, ETL, reinforcement learning, stochastic approximation, multi-agent systems, ontology, model-driven development, organisational modelling, digital government, new institutional economics and data governance.
Author |
: Abdelkader Hameurlain |
Publisher |
: Springer Nature |
Total Pages |
: 139 |
Release |
: 2020-08-12 |
ISBN-10 |
: 9783662621998 |
ISBN-13 |
: 3662621991 |
Rating |
: 4/5 (98 Downloads) |
Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII by : Abdelkader Hameurlain
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.
Author |
: Abdelkader Hameurlain |
Publisher |
: Springer |
Total Pages |
: 220 |
Release |
: 2016-09-03 |
ISBN-10 |
: 9783662534168 |
ISBN-13 |
: 3662534169 |
Rating |
: 4/5 (68 Downloads) |
Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII by : Abdelkader Hameurlain
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.
Author |
: Abdelkader Hameurlain |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 382 |
Release |
: 2009-08-28 |
ISBN-10 |
: 9783642037214 |
ISBN-13 |
: 3642037216 |
Rating |
: 4/5 (14 Downloads) |
Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems I by : Abdelkader Hameurlain
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.
Author |
: Abdelkader Hameurlain |
Publisher |
: Springer |
Total Pages |
: 142 |
Release |
: 2016-12-15 |
ISBN-10 |
: 9783662540374 |
ISBN-13 |
: 3662540371 |
Rating |
: 4/5 (74 Downloads) |
Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIX by : Abdelkader Hameurlain
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 29th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four revised selected regular papers. Topics covered include optimization and cluster validation processes for entity matching, business intelligence systems, and data profiling in the Semantic Web.
Author |
: Abdelkader Hameurlain |
Publisher |
: Springer |
Total Pages |
: 200 |
Release |
: 2018-08-01 |
ISBN-10 |
: 9783662579329 |
ISBN-13 |
: 3662579324 |
Rating |
: 4/5 (29 Downloads) |
Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII by : Abdelkader Hameurlain
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.
Author |
: Abdelkader Hameurlain |
Publisher |
: Springer |
Total Pages |
: 235 |
Release |
: 2018-11-22 |
ISBN-10 |
: 9783662584156 |
ISBN-13 |
: 3662584158 |
Rating |
: 4/5 (56 Downloads) |
Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX by : Abdelkader Hameurlain
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.
Author |
: Abdelkader Hameurlain |
Publisher |
: Springer |
Total Pages |
: 169 |
Release |
: 2015-03-17 |
ISBN-10 |
: 9783662467039 |
ISBN-13 |
: 3662467038 |
Rating |
: 4/5 (39 Downloads) |
Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XX by : Abdelkader Hameurlain
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.