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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX
Author: Abdelkader Hameurlain
Publisher: Springer
Total Pages: 235
Release: 2018-11-22
Genre: Computers
ISBN: 3662584158

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 XLIII

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII
Author: Abdelkader Hameurlain
Publisher: Springer Nature
Total Pages: 139
Release: 2020-08-12
Genre: Computers
ISBN: 3662621991

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 LIV

Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV
Author: Abdelkader Hameurlain
Publisher: Springer Nature
Total Pages: 141
Release: 2023-10-23
Genre: Computers
ISBN: 3662680149

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 54th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains three fully revised and extended papers and two additional extended keynotes selected from the 38th conference on Data Management - Principles, Technologies and Applications, BDA 2022. The topics cover a wide range of timely data management research topics on temporal graph management, tensor-based data mining, time-series prediction, healthcare analytics over knowledge graphs, and explanation of database query answers.

Big Data Analytics

Big Data Analytics
Author: Sanjay Madria
Publisher: Springer Nature
Total Pages: 466
Release: 2019-12-12
Genre: Computers
ISBN: 3030371883

This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.

Advances in Machine Intelligence and Computer Science Applications

Advances in Machine Intelligence and Computer Science Applications
Author: Noureddine Aboutabit
Publisher: Springer Nature
Total Pages: 375
Release: 2023-04-06
Genre: Computers
ISBN: 3031293134

This book encloses latest and advanced researches on artificial intelligence and its applications in computer science. It is an interesting book that aims to help students, researchers, industrialists, and policymakers understand, promote, and synthesize innovative solutions and think of new ideas with the application of artificial intelligence concepts. It also allows to know the existing scientific works and contributions in the literature. This book identifies original research in new directions and advances focused on multidisciplinary areas and closely related to the use of artificial intelligence in applications of computer science, communication, and technology. The present book contains selected and extended high-quality papers of the 1st international conference on Machine Intelligence and Computer Science Applications (ICMICSA’2022). It is the result of a reviewed, evaluated, and presented work in ICMICSA’2022 held on November 28–29, 2022, in Khouribga, Morocco.

Information For Efficient Decision Making: Big Data, Blockchain And Relevance

Information For Efficient Decision Making: Big Data, Blockchain And Relevance
Author: Kashi R Balachandran
Publisher: World Scientific
Total Pages: 715
Release: 2020-11-19
Genre: Business & Economics
ISBN: 9811220484

Can there be reliable information that is also relevant to decision making? Information for Efficient Decision Making: Big Data, Blockchain and Relevance focuses on the consolidation of information to facilitate making decisions in firms, in order to make their operations efficient to reduce their costs and consequently, increase their profitability. The advent of blockchain has generated great interest as an alternative to centralized organizations, where the data is gathered through a centralized ledger keeping of activities of the firm. The decentralized ledger keeping is one of the main features of blockchain that has given rise to many issues of technology, development, implementation, privacy, acceptance, evaluation and so on. Blockchain concept is a follow-up to big data environment facilitated by enormous progress in computer hardware, storage capacities and technological prowess. This has resulted in the rapid acquiring of data not considered possible earlier. With shrewd modeling analytics and algorithms, the applications have grown to significant levels. This handbook discusses the progress in data collection, pros and cons of collecting information on decentralized publicly available ledgers and several applications.

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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII
Author: Abdelkader Hameurlain
Publisher: Springer
Total Pages: 192
Release: 2015-11-07
Genre: Computers
ISBN: 3662485672

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

Transactions on Large-Scale Data- and Knowledge-Centered Systems XII
Author: Abdelkader Hameurlain
Publisher: Springer
Total Pages: 136
Release: 2013-12-06
Genre: Computers
ISBN: 3642453155

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.

Principles of Data Mining

Principles of Data Mining
Author: Max Bramer
Publisher: Springer Science & Business Media
Total Pages: 342
Release: 2007-03-06
Genre: Computers
ISBN: 1846287669

This book explains the principal techniques of data mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This will benefit readers of all levels, from those who use data mining via commercial packages, right through to academic researchers. The book aims to help the general reader develop the necessary understanding to use commercial data mining packages, and to enable advanced readers to understand or contribute to future technical advances. Includes exercises and glossary.

Terrorism Informatics

Terrorism Informatics
Author: Hsinchun Chen
Publisher: Springer Science & Business Media
Total Pages: 590
Release: 2008-06-17
Genre: Business & Economics
ISBN: 0387716130

This book is nothing less than a complete and comprehensive survey of the state-of-the-art of terrorism informatics. It covers the application of advanced methodologies and information fusion and analysis. It also lays out techniques to acquire, integrate, process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The book details three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. It systematically examines the current and ongoing research, including recent case studies and application of terrorism informatics techniques. The coverage then presents the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges.