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Provably secure data selective sharing scheme with cloud-based decentralized trust management systems
The smart collection and sharing of data is an important part of cloud-based systems, since huge amounts of data are being created all the time. This...
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Data Management
The speed and accuracyAccuracy of data management are essential advantages offered by AIArtificial Intelligence (AI) systems. A further advantage...
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A Data-Driven Energy Management Strategy Based on Deep Reinforcement Learning for Microgrid Systems
Due to the interactions among schedulable equipment and the uncertainty of microgrid (MG) systems, it becomes increasingly difficult to establish...
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Modern Experiment Management Systems Architecture for Scientific Big Data
Experiment management systems (EMS) have more than twenty-five years of history. From small desktop prototypes to large-scale distributed systems,...
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AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating...
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Blockchain based reputation management, data storage and distributed revocation in vehicular energy networks in smart health care systems
In vehicular energy networks (VENs) operating in smart health care systems (SHaCarS), reputation of vehicles, i.e., ambulances, plays an important...
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Framework for Modeling Security Policies of Big Data Processing Systems
AbstractThis paper studies automatizing the analysis of access control in big data management systems by modeling security policies. It analyzes...
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A Systematic Approach to Consuming Data in Complex Data Management Landscapes Using Data Consumption Patterns
Through data analytics, enterprises can exploit the value their data hold. However, there are still various challenges to be solved, one of them...
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Data protection in heterogeneous big data systems
Modern Big Data systems are notable for their scale and, often, their distributed organization. A feature of a number of Big Data systems is the use...
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Situational Data Integration in Question Answering systems: a survey over two decades
Question Answering (QA) systems provide accurate answers to questions; however, they lack the ability to consolidate data from multiple sources,...
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Big data optimisation and management in supply chain management: a systematic literature review
The increasing interest from technology enthusiasts and organisational practitioners in big data applications in the supply chain has encouraged us...
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Data Modeling in Big Data Systems Including Polystore and Heterogeneous Information Processing Components
AbstractThis paper is studies modeling data in big data systems, including polystores and other heterogeneous information processing components....
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A guide to creating an effective big data management framework
Many agencies and organizations, such as the U.S. Geological Survey, handle massive geospatial datasets and their auxiliary data and are thus faced...
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Data Management
We have talked about what you need to do to build, create, secure, and tune database environments. DBAs need to know how to administer databases and...
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Secure privacy-enhanced fast authentication and key management for IoMT-enabled smart healthcare systems
The smart healthcare system advancements have introduced the Internet of Things, enabling technologies to improve the quality of medical services....
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Improving hardware/software interface management in systems of systems through documentation as code
ContextThe management of Interface Control Documents (ICDs) has shown to be a major pain point in the architecting processes of Systems of Systems ...
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Highly distributed and privacy-preserving queries on personal data management systems
Personal data management system (PDMS) solutions are flourishing, boosted by smart disclosure initiatives and new regulations. PDMSs allow users to...
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Managing Provenance Data in Knowledge Graph Management Platforms
Knowledge Graphs (KGs) present factual information about domains of interest. They are used in a wide variety of applications and in different...
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Research Data Management in Simulation Science: Infrastructure, Tools, and Applications
Research Data Management (RDM) has gained significant traction in recent years, being essential to allowing research data to be, e.g., findable,...
