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Data Science and Knowledge Discovery

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  • Filipe Portela

    (Algoritmi Research Centre, University of Minho, 4800-058 Guimarães, Portugal
    IOTECH—Innovation on Technology, 4785-588 Trofa, Portugal)

Abstract

Nowadays, Data Science (DS) is gaining a relevant impact on the community. The most recent developments in Computer Science, such as advances in Machine and Deep Learning, Big Data, Knowledge Discovery, and Data Analytics, have triggered the development of several innovative solutions (e.g., approaches, methods, models, or paradigms). It is a trending topic with many application possibilities and motivates the researcher to conduct experiments in these most diverse areas. This issue created an opportunity to expose some of the most relevant achievements in the Knowledge Discovery and Data Science field and contribute to such subjects as Health, Smart Homes, Social Humanities, Government, among others. The relevance of this field can be easily observed by its current achieved numbers: thirteen research articles, one technical note, and forty-six authors from fifteen nationalities.

Suggested Citation

  • Filipe Portela, 2021. "Data Science and Knowledge Discovery," Future Internet, MDPI, vol. 13(7), pages 1-4, July.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:7:p:178-:d:590368
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    References listed on IDEAS

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    1. José Paulo Lousado & Sandra Antunes, 2020. "Monitoring and Support for Elderly People Using LoRa Communication Technologies: IoT Concepts and Applications," Future Internet, MDPI, vol. 12(11), pages 1-30, November.
    2. Alan Ponce & Raul Alberto Ponce Rodriguez, 2020. "An Analysis of the Supply of Open Government Data," Future Internet, MDPI, vol. 12(11), pages 1-18, October.
    3. Antonio Maria Rinaldi & Cristiano Russo & Cristian Tommasino, 2020. "A Knowledge-Driven Multimedia Retrieval System Based on Semantics and Deep Features," Future Internet, MDPI, vol. 12(11), pages 1-20, October.
    4. Christian Scheel & Francesca Fallucchi & Ernesto William De Luca, 2020. "Visualization, Interaction and Analysis of Heterogeneous Textbook Resources," Future Internet, MDPI, vol. 12(10), pages 1-16, October.
    5. Sook-Ling Chua & Lee Kien Foo & Hans W. Guesgen, 2020. "Predicting Activities of Daily Living with Spatio-Temporal Information," Future Internet, MDPI, vol. 12(12), pages 1-13, November.
    6. Piotr Artiemjew & Lada Rudikova & Oleg Myslivets, 2020. "About Rule-Based Systems: Single Database Queries for Decision Making," Future Internet, MDPI, vol. 12(12), pages 1-13, November.
    7. Mikolaj Karpinski & Svitlana Kuznichenko & Nadiia Kazakova & Oleksii Fraze-Frazenko & Daniel Jancarczyk, 2020. "Geospatial Assessment of the Territorial Road Network by Fractal Method," Future Internet, MDPI, vol. 12(11), pages 1-13, November.
    8. Albert Weichselbraun & Philipp Kuntschik & Vincenzo Francolino & Mirco Saner & Urs Dahinden & Vinzenz Wyss, 2021. "Adapting Data-Driven Research to the Fields of Social Sciences and the Humanities," Future Internet, MDPI, vol. 13(3), pages 1-22, February.
    9. Laith T. Khrais, 2020. "Role of Artificial Intelligence in Shaping Consumer Demand in E-Commerce," Future Internet, MDPI, vol. 12(12), pages 1-14, December.
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