Resultados de búsqueda - "knowledge graph"

Visualization analysis of the research status of FU Qingzhu's Obstetrics and Gynecology based on bibliometrics por Tian Sainan, Peng Qinghua, Chen Yinan, Lan Congying, Yan Junfeng

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Process Mining Handbook

Tabla de Contenidos: “…Introduction -- Process Mining: A 360 Degree Overview -- Process Discovery -- Foundations of Process Discovery -- Advanced Process Discovery Techniques -- Declarative Process Specifications: Reasoning, Discovery, Monitoring -- Conformance Checking -- Conformance Checking: Foundations, Milestones and Challenges -- Data Preprocessing -- Foundations of Process Event Data -- A Practitioner's View on Process Mining Adoption, Event Log Engineering and Data Challenges -- Process Enhancement and Monitoring -- Foundations of Process Enhancement -- Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs -- Predictive Process Monitoring -- Assorted Process Mining Topics -- Streaming Process Mining -- Responsible Process Mining -- Industrial Perspective and Applications -- Status and Future of Process Mining: from Process Discovery to Process Execution -- Using Process Mining in Healthcare -- Process Mining for Financial Auditing -- Robotic Process Mining -- Closing -- Scaling Process Mining toTurn Insights Into Actions.…”
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Technologies and Applications for Big Data Value

Tabla de Contenidos: “…Technologies and Applications for Big Data Value -- Part I: Technologies and Methods -- Trade-Offs and Challenges of Serverless Data Analytics -- Big Data and AI Pipeline Framework: Technology Analysis from a Benchmarking Perspective -- An Elastic Software Architecture for Extreme-Scale Big Data Analytics -- Privacy-Preserving Technologies for Trusted Data Spaces -- Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations -- Leveraging High-Performance Computing and Cloud Computing with Unified Big-DataWorkflows: The LEXIS Project -- Part II: Processes and Applications -- The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures -- Applying AI to Manage Acute and Chronic Clinical Condition -- 3D Human Big Data Exchange Between the Healthcare and Garment Sectors -- Using a Legal Knowledge Graph for Multilingual Compliance Services in Labor Law, Contract Management, and Geothermal Energy -- Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case -- Data-Driven Artificial Intelligence and Predictive Analytics for the Maintenance of Industrial Machinery with Hybrid and Cognitive Digital Twins -- Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case -- Next-Generation Big Data-Driven Factory 4.0 Operations and Optimization: The Boost 4.0 Experience -- Big Data-Driven Industry 4.0 Service Engineering Large-Scale Trials: The Boost 4.0 Experience -- Model-Based Engineering and Semantic Interoperability for Trusted Digital Twins Big Data Connection Across the Product Lifecycle -- A Data SciencePipeline for Big Linked Earth Observation Data -- Towards Cognitive Ports of the Futures -- Distributed Big Data Analytics in a Smart City -- Processing Big Data in Motion: Core Components and System Architectures with Applications to the Maritime Domain -- Knowledge Modeling and Incident Analysis for Special Cargo.…”
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AI, Data, and Digitalization First International Symposium, SAIDD 2023, Sogndal, Norway, May 9-10, 2023, Revised Selected Papers /

Tabla de Contenidos: “…Geolocation data as a research tool for the organization of the settlement system and mobility mapping - case study of the spatial mobility model in Czechia -- Returning Home Strategy Analysis using Mobile Sensing Data in Tohoku Earthquake -- Terminology Saturation Analysis: Refinements and Applications -- How To Be a Well-Prepared Organizer: Studying the Causal Effects of City Events on Human Mobility -- Human Cognition Modeling for the Metaverse-oriented Design System -- Patient self-reports for explainable machine learning predictions of risks to psychotherapy outcomes -- I-KNOW-FOO: Interlinking and Creating KNOWledge Graphs for near-zero CO2 emission diets and sustainable FOOd production -- Extreme and Sustainable Graph Processing for Green Finance Investment and Trading -- A Comprehensive Framework for Detecting Behavioural Anomalies in the Elderly -- Violence-inducing Behavior Prevention in Social-Cyber Space -- Artificial Intelligence inthe public sector in Norway AI development as a hop-on-hop-off journey -- Challenges in regulating online hate-speech within the Norwegian context -- Digital and AI maturity of enterprises in Sogn og Fjordane, a rural region of Norway. .…”
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Real-time Linked Dataspaces Enabling Data Ecosystems for Intelligent Systems / por Curry, Edward

Tabla de Contenidos: “…1 Real-time Linked Dataspaces: A Data Platform for Intelligent Systems within Internet of Things-based Smart Environments -- 2 Enabling Knowledge Flows in an Intelligent Systems Data Ecosystem -- 3 Dataspaces: Fundamentals, Principles, and Techniques -- 4 Fundamentals of Real-time Linked Dataspaces -- 5 Data Support Services for Real-time Linked Dataspaces -- 6 Catalog and Entity Management Service for Internet of Things-based Smart Environments -- 7 Querying and Searching Heterogeneous Knowledge Graphs in Real-time Linked Dataspaces -- 8 Enhancing the Discovery of Internet of Things-based Data Services in Real-time Linked Dataspaces -- 9 Human-in-the-Loop Tasks for Data Management, Citizen Sensing, and Actuation in Smart Environments -- 10 Stream and Event Processing Services for Real-time Linked Dataspaces -- 11 Quality of Service-Aware Complex Event Service Composition in Real-time Linked Dataspaces -- 12 Dissemination of Internet of Things Streams in a Real-time Linked Dataspace -- 13 Approximate Semantic Event Processing in Real-time Linked Dataspaces -- 14 Enabling Intelligent Systems, Applications, and Analytics for Smart Environments using Real-time Linked Dataspaces -- 15 Autonomic Source Selection for Real-time Predictive Analytics using the Internet of Things and Open Data -- 16 Building Internet of Things-enabled Digital Twins and Intelligent Applications using a Real-time Linked Dataspace -- 17 A Model for Internet of Things Enhanced User Experience in Smart Environments -- 18 Future Research Directions for Dataspaces, Data Ecosystems, and Intelligent Systems.…”
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Entity Alignment Concepts, Recent Advances and Novel Approaches / por Zhao, Xiang, Zeng, Weixin, Tang, Jiuyang

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Rare and Complicated Granulomatous Lobular Mastitis (2000–2023): A Bibliometrics Study and Visualization Analysis por Zhang M, Pu D, Feng D, Shi G, Li J

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Information and Knowledge Organisation in Digital Humanities Global Perspectives

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Bibliometric analysis and description of research trends in the treatment of psoriasis with biologic agents in the past two decades (2004-2023) por Yingdong Wang, Junchen Li, Chenqi Guo, Guojing Yang, Haiyue Lin, Yu Zhang

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Bibliometric study on clinical research of osteoporosis in adolescents por Dingshuang Li, Jingxi Ou, Yang Zeng, Lei Hou, Yu Yuan, Zhiyuan Luo

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Information and Knowledge Organisation in Digital Humanities Global Perspectives

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Volunteered Geographic Information Interpretation, Visualization and Social Context

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Artificial intelligence-driven structurization of diagnostic information in free-text pathology reports por Pericles S Giannaris, Zainab Al-Taie, Mikhail Kovalenko, Nattapon Thanintorn, Olha Kholod, Yulia Innokenteva, Emily Coberly, Shellaine Frazier, Katsiarina Laziuk, Mihail Popescu, Chi-Ren Shyu, Dong Xu, Richard D Hammer, Dmitriy Shin

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Large-Scale Biomedical Relation Extraction Across Diverse Relation Types: Model Development and Usability Study on COVID-19 por Zeyu Zhang, Meng Fang, Rebecca Wu, Hui Zong, Honglian Huang, Yuantao Tong, Yujia Xie, Shiyang Cheng, Ziyi Wei, M James C Crabbe, Xiaoyan Zhang, Ying Wang

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A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19 por Emmanuelle Logette, Charlotte Lorin, Cyrille Favreau, Eugenia Oshurko, Jay S. Coggan, Francesco Casalegno, Mohameth François Sy, Caitlin Monney, Marine Bertschy, Emilie Delattre, Pierre-Alexandre Fonta, Jan Krepl, Stanislav Schmidt, Daniel Keller, Samuel Kerrien, Enrico Scantamburlo, Anna-Kristin Kaufmann, Henry Markram

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Volunteered Geographic Information Interpretation, Visualization and Social Context /

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