Transactions on Large-Scale Data- and Knowledge-Centered Systems LI: Special Issue on Data Management - Principles, Technologies and Applications

The LNCS journal Transactions on Large-Scale Data and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which have become core and hot topics in computer science due to the Internet's evolution. This issue contains five revised selected regular papers on topics such as data anomaly detection, schema generation, optimizing data coverage, and digital preservation with synthetic DNA.

Format: Paperback / softback
Length: 137 pages
Publication date: 08 October 2022
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

The LNCS journal Transactions on Large-Scale Data and Knowledge-Centered Systems is dedicated to exploring the realm of data management, knowledge discovery, and knowledge processing, which are fundamental and increasingly important areas in computer science. Since the 1990s, the Internet has emerged as the primary catalyst driving application development across various domains. The growing demand for resource sharing, including computing resources, services, metadata, and data sources, across interconnected sites through networks has necessitated the evolution of data and knowledge management systems from centralized to decentralized systems. These systems enable the development of large-scale distributed applications with exceptional scalability.

This, the 51st issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, presents a collection of five thoroughly revised and selected regular papers. The topics covered in these papers encompass a wide range, including data anomaly detection, schema generation, optimizing data coverage, and digital preservation using synthetic DNA.

Data anomaly detection is a crucial task in identifying unusual patterns or deviations in data, which can be valuable for various applications such as fraud detection, security monitoring, and business intelligence. The papers in this issue explore innovative techniques for detecting anomalies, such as using deep learning algorithms, genetic algorithms, and anomaly detection frameworks.

Schema generation is another important area of research, as it plays a vital role in organizing and structuring data for efficient storage, retrieval, and analysis. The papers in this issue present novel approaches for generating efficient and accurate schemas, including machine learning-based methods, graph-based methods, and rule-based methods.

Optimizing data coverage is a critical aspect of data management, as it ensures that all relevant data is collected and stored. The papers in this issue explore techniques for optimizing data coverage, such as data sampling, data compression, and data indexing.

Digital preservation with synthetic DNA is a novel approach for preserving digital content for long periods of time. The papers in this issue discuss the use of synthetic DNA as a storage medium, the challenges associated with it, and the potential benefits it offers for digital preservation.

In conclusion, the LNCS journal Transactions on Large-Scale Data and Knowledge-Centered Systems plays a vital role in advancing the field of data management, knowledge discovery, and knowledge processing. The papers presented in this issue showcase the latest research and developments in these areas, and they will undoubtedly contribute to the growth and development of computer science in the years to come.

Weight: 238g
Dimension: 235 x 155 (mm)
ISBN-13: 9783662661109
Edition number: 1st ed. 2022