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

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 six fully revised selected regular papers on topics such as time series management, segmentation, similarity research, semantic similarity, linked data, natural language processing, graph neural networks, protected features, imbalanced data, causal consistency, actor models, and elastic horizontal scalability.

Format: Paperback / softback
Length: 167 pages
Publication date: 09 February 2023
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 intricate realms of data management, knowledge discovery, and knowledge processing, which are pivotal and rapidly advancing fields within computer science. Since the 1990s, the Internet has emerged as the primary catalyst driving application development across diverse domains. The growing demand for resource sharing, encompassing computing resources, services, metadata, and data sources, across interconnected sites within networks has necessitated the evolution of data and knowledge management systems. These systems have transitioned from centralized architectures to decentralized systems, enabling the development of large-scale distributed applications with remarkable scalability.

This, the 53rd issue of Transactions on Large-scale Data and Knowledge-centered Systems, presents a collection of six meticulously revised and selected regular papers. The topics covered in these papers span a wide range, including time series management from edge to cloud, segmentation for time series representation, similarity research, semantic similarity in taxonomies, linked data semantic distance, linguistics-informed natural language processing, graph neural networks, protected features, imbalanced data, causal consistency in distributed databases, actor models, and elastic horizontal scalability.

By delving into these diverse topics, the journal aims to provide a comprehensive understanding of the latest advancements and challenges in the field of large-scale data and knowledge-centered systems. The contributions of these research papers offer valuable insights and innovative solutions to address the complex requirements of modern computing, enabling organizations to harness the power of data and knowledge for competitive advantage and societal progress.

Weight: 285g
Dimension: 235 x 155 (mm)
ISBN-13: 9783662668627
Edition number: 1st ed. 2023