Suchergebnisse - data analytics and frameworks supporting data analytics

  1. 1

    Semantic Query Transformations for Increased Parallelization in Distributed Knowledge Graph Query Processing von Kim, Hyeongsik, Bhattacharyya, Abhisha, Anyanwu, Kemafor

    ISSN: 2167-4337
    Veröffentlicht: ACM 17.11.2019
    “… However, significant challenges remain with supporting efficient and scalable processing of queries with data linked with ontologies (ontological queries …”
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    A Big Data Management and Analytics Framework for Supporting Machine Learning, OLAP, and Visualization on Big COVID-19 Data von Cuzzocrea, Alfredo, Leung, Carson K, Shang, Siyuan, Wen, Yan

    ISSN: 1063-8016, 1533-8010
    Veröffentlicht: Hershey IGI Global 01.01.2025
    Veröffentlicht in Journal of database management (01.01.2025)
    “… ). Researchers, epidemiologists, and policy makers get a great deal of help from the knowledge discovered from these data via data science techniques such as machine learning, data mining and online analytical processing (OLAP …”
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  3. 3

    A Big-Data-Analytics Framework for Supporting Logistics Problems in Smart-City Environments von Cuzzocrea, Alfredo, Nolich, Massimiliano, Ukovich, Walter

    ISSN: 1877-0509, 1877-0509
    Veröffentlicht: Elsevier B.V 2019
    Veröffentlicht in Procedia computer science (2019)
    “… Containers delivery management is a problem widely studied. Typically, it concerns the container movement on a truck from ships to factories or wholesalers and …”
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  4. 4

    A novel semantic recognition framework of urban functional zones supporting urban land structure analytics based on open‐source data von Du, Zhuotong, Sui, Haigang, Wang, Jindi

    ISSN: 1361-1682, 1467-9671
    Veröffentlicht: Oxford Blackwell Publishing Ltd 01.06.2021
    Veröffentlicht in Transactions in GIS (01.06.2021)
    “… ) framework to analyze UFZs and quantitatively link open‐source data (OSD) with the Chinese national urban function classification code …”
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  5. 5

    Supporting policy-making with social media and e-participation platforms data: A policy analytics framework von Simonofski, Anthony, Fink, Jerôme, Burnay, Corentin

    ISSN: 0740-624X, 1872-9517
    Veröffentlicht: Elsevier Inc 01.07.2021
    Veröffentlicht in Government information quarterly (01.07.2021)
    “… of insights between the two channels. In order to address these gaps, we design a policy analytics framework to leverage insights from e-participation platforms and social media through relevant data analytics to support policy-making …”
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    A Big-Data-Analytics Framework for Supporting Classification of ADHD and Healthy Children via Principal Component Analysis of EEG Sleep Spindles Power Spectra von Dea, Federica De, Ajčević, Miloš, Stecca, Matteo, Zanus, Caterina, Carrozzi, Marco, Cuzzocrea, Alfredo, Accardo, Agostino

    ISSN: 1877-0509, 1877-0509
    Veröffentlicht: Elsevier B.V 2019
    Veröffentlicht in Procedia computer science (2019)
    “… ), in order to provide more and detailed information on sleep brain functioning in ADHD. These features can be analyzed via well-known big data analytics methods …”
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    An Intelligent Visual Big Data Analytics Framework for Supporting Interactive Exploration and Visualization of Big OLAP Cubes von Ordonez, Carlos, Chen, Zhibo, Cuzzocrea, Alfredo, Garcia-Garcia, Javier

    ISSN: 2375-0138
    Veröffentlicht: IEEE 01.09.2020
    “… Visual big data analytics aims at supporting big data analytics via visual metaphors, with a plethora of applications in modern settings and scenarios …”
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    Where Is the Teacher in Data Analytics in Education?: Evaluating the Maturity of Analytics Solutions and Frameworks Supporting Teachers von Nguyen, Ngoc Buu Cat, Karunaratne, Thashmee

    ISSN: 1863-0383, 1868-8799, 1863-0383
    Veröffentlicht: Vienna International Association of Online Engineering (IAOE) 2024
    “… However, typically learners are the primary beneficiaries, while teachers are quite invisible in the research of data analytics in education, although both are equally important …”
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  9. 9

    An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis von Cuzzocrea, Alfredo, Gaber, Mohamed Medhat, Fadda, Edoardo, Grasso, Giorgio Mario

    ISSN: 1868-5137, 1868-5145
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2019
    “… In this paper, we provide principles, models, and main architecture of an innovative framework for supporting intelligent analytics over big atmospheric data via clustering-based spatio-temporal analysis …”
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    A high performance query analytical framework for supporting data-intensive climate studies von Li, Zhenlong, Huang, Qunying, Carbone, Gregory J., Hu, Fei

    ISSN: 0198-9715, 1873-7587
    Veröffentlicht: Oxford Elsevier Ltd 01.03.2017
    Veröffentlicht in Computers, environment and urban systems (01.03.2017)
    “… disasters, diseases, and other environmental issues. This paper introduces a high performance query analytical framework to tackle these challenges by leveraging Hive and cloud computing technologies …”
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    Analytics for learning design : A layered framework and tools von Davinia Hernández-Leo, Roberto Martinez-Maldonado, Abelardo Pardo, Juan A. Muñoz-Cristóbal, María J. Rodríguez-Triana

    ISSN: 0007-1013, 1467-8535
    Veröffentlicht: Coventry Wiley-Blackwell 01.01.2019
    Veröffentlicht in British journal of educational technology (01.01.2019)
    “… Despite its clear synergy, there is only limited and fragmented work exploring the active role that data analytics can play in supporting design for learning …”
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    A Big Data Analytics Framework for Supporting Multidimensional Mining over Big Healthcare Data von Bochicchio, Mario, Cuzzocrea, Alfredo, Vaira, Lucia

    Veröffentlicht: IEEE 01.12.2016
    “… Nowadays, a great deal of attention is being devoted to big data analytics in complex healthcare environments …”
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    A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data von Jackson, Marshall D., Leung, Carson K., Mbacke, M. Diarra B., Cuzzocrea, Alfredo

    Veröffentlicht: IEEE 01.07.2021
    “… In the current era of big data, huge volumes of valuable data can be easily generated and collected at a rapid velocity from a wide variety of rich data sources …”
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    Fostering Evidence-Based Education with Learning Analytics: Capturing Teaching-Learning Cases from Log Data von Kuromiya, Hiroyuki, Majumdar, Rwitajit, Ogata, Hiroaki

    ISSN: 1176-3647, 1436-4522, 1436-4522
    Veröffentlicht: Palmerston North International Forum of Educational Technology & Society 01.10.2020
    Veröffentlicht in Educational Technology & Society (01.10.2020)
    “… In our work, we propose a technology-mediated process of capturing teaching-learning cases (TLCs) using a learning analytics framework …”
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    An Innovative Framework for Supporting Cognitive-Based Big Data Analytics for Frequent Pattern Mining von Deng, Deyu, Leung, Carson K., Wodi, Bryan H., Yu, Jialiang, Zhang, Hao, Cuzzocrea, Alfredo

    Veröffentlicht: IEEE 01.07.2018
    “… In this paper, we present an innovative framework for supporting cognitive-based big data analytics for frequent pattern mining …”
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    Measuring HR analytics maturity: supporting the development of a roadmap for data-driven human resources management von Rigamonti, Elia, Gastaldi, Luca, Corso, Mariano

    ISSN: 0025-1747, 1758-6070
    Veröffentlicht: London Emerald Publishing Limited 2024
    Veröffentlicht in Management decision (2024)
    “… PurposeToday, companies are struggling to develop their human resources analytics (HRA …”
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    Enabling Big Geoscience Data Analytics with a Cloud-Based, MapReduce-Enabled and Service-Oriented Workflow Framework von Li, Zhenlong, Yang, Chaowei, Jin, Baoxuan, Yu, Manzhu, Liu, Kai, Sun, Min, Zhan, Matthew

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: United States Public Library of Science 05.03.2015
    Veröffentlicht in PloS one (05.03.2015)
    “… tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics …”
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    Data lakes versus data warehouses: choosing the right approach for big data analytics von Mezzoudj, Saliha, Khelifa, Meriem, Saadna, Yassmina

    ISSN: 2314-7172, 2314-7172
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2025
    “… for diverse analytics workloads. Data lakes offer scalable, cost-effective storage for raw, unstructured, and semi-structured data, supporting advanced analytics and machine learning applications …”
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    Serendipitous, Open Big Data Management and Analytics: The SeDaSOMA Framework von Cuzzocrea, Alfredo, Ciancarini, Paolo

    ISSN: 2673-3951, 2673-3951
    Veröffentlicht: Basel MDPI AG 01.09.2024
    Veröffentlicht in Modelling (01.09.2024)
    “… This paper presents and delves into the architecture and intricacies of SeDaSOMA, a sophisticated framework supporting Serendipitous, Data-as-a-Service-oriented, Open big data Management and Analytics …”
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