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

The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systemsfocuses on data management, knowledge discovery, and knowledge processing, which arecore and hot topics in computer science. Since the 1990s, the Internet has become the maindriving force behind application development in all domains. An increase in the demand forresource sharing (e.g. computing resources, services, metadata, data sources) across differentsites connected through networks has led to an evolution of data- and knowledge-managementsystems from centralized systems to decentralized systems enabling large-scale distributedapplications providing high scalability.

This, the 57th issue of Transactions on Large-scale Data and Knowledge-centered Systems,contains five fully revised selected regular papers. Topics covered include leveraging machinelearning for effective data management, access control models, reciprocal authorizations,Internet of Things, digital forensics, code similarity search, volunteered geographicinformation, and spatial data quality.

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

The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systemsfocuses on data management, knowledge discovery, and knowledge processing, which arecore and hot topics in computer science. Since the 1990s, the Internet has become the maindriving force behind application development in all domains. An increase in the demand forresource sharing (e.g. computing resources, services, metadata, data sources) across differentsites connected through networks has led to an evolution of data- and knowledge-managementsystems from centralized systems to decentralized systems enabling large-scale distributedapplications providing high scalability.

This, the 57th issue of Transactions on Large-scale Data and Knowledge-centered Systems,contains five fully revised selected regular papers. Topics covered include leveraging machinelearning for effective data management, access control models, reciprocal authorizations,Internet of Things, digital forensics, code similarity search, volunteered geographicinformation, and spatial data quality.

64.99 In Stock
Transactions on Large-Scale Data- and Knowledge-Centered Systems LVII

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

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

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

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Overview

The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systemsfocuses on data management, knowledge discovery, and knowledge processing, which arecore and hot topics in computer science. Since the 1990s, the Internet has become the maindriving force behind application development in all domains. An increase in the demand forresource sharing (e.g. computing resources, services, metadata, data sources) across differentsites connected through networks has led to an evolution of data- and knowledge-managementsystems from centralized systems to decentralized systems enabling large-scale distributedapplications providing high scalability.

This, the 57th issue of Transactions on Large-scale Data and Knowledge-centered Systems,contains five fully revised selected regular papers. Topics covered include leveraging machinelearning for effective data management, access control models, reciprocal authorizations,Internet of Things, digital forensics, code similarity search, volunteered geographicinformation, and spatial data quality.


Product Details

ISBN-13: 9783662701409
Publisher: Springer-Verlag New York, LLC
Publication date: 10/24/2024
Series: Lecture Notes in Computer Science , #14970
Sold by: Barnes & Noble
Format: eBook
File size: 12 MB
Note: This product may take a few minutes to download.

Table of Contents

Leveraging Machine Learning for Effective Data Management.- Exploring Reciprocal Exchanges and Trust-Based Authorizations: A Feasibility Demonstration with Location-Based Services.- Device Forensics in Smart Homes: Insights on Advances, Challenges and Future Directions.- Evaluation of Code Similarity Search Strategies in Large-Scale Codebases.- Quality Assessment of Volunteered Geographic Information: A Survey.

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