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Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science

Author

Listed:
  • Silvia Chiusano

    (Politecnico di Torino)

  • Tania Cerquitelli

    (Politecnico di Torino)

  • Robert Wrembel

    (Poznan University of Technology)

  • Daniele Quercia

    (King’s College
    Nokia Bell Labs)

Abstract

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Suggested Citation

  • Silvia Chiusano & Tania Cerquitelli & Robert Wrembel & Daniele Quercia, 2021. "Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science," Information Systems Frontiers, Springer, vol. 23(1), pages 1-7, February.
    • Handle: RePEc:spr:infosf:v:23:y:2021:i:1:d:10.1007_s10796-020-10091-8
    DOI: 10.1007/s10796-020-10091-8
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    References listed on IDEAS

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    1. Amir Hassan Zadeh & Hamed M. Zolbanin & Ramesh Sharda & Dursun Delen, 2019. "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis," Information Systems Frontiers, Springer, vol. 21(4), pages 743-760, August.
    2. Giovanni Battista Gardino & Rosa Meo & Giuseppe Craparotta, 0. "Multi-view Latent Learning Applied to Fashion Industry," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    3. Kawaljeet Kaur Kapoor & Kuttimani Tamilmani & Nripendra P. Rana & Pushp Patil & Yogesh K. Dwivedi & Sridhar Nerur, 2018. "Advances in Social Media Research: Past, Present and Future," Information Systems Frontiers, Springer, vol. 20(3), pages 531-558, June.
    4. Ying Liu & Lawrence Wing-Chi Chan & Chi-Ren Shyu & Ying Liu, 2009. "Editorial for the special issue of knowledge discovery and management in biomedical information systems," Information Systems Frontiers, Springer, vol. 11(4), pages 345-347, September.
    5. Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.
    6. Aria Ghora Prabono & Bernardo Nugroho Yahya & Seok-Lyong Lee, 0. "Atypical Sample Regularizer Autoencoder for Cross-Domain Human Activity Recognition," Information Systems Frontiers, Springer, vol. 0, pages 1-10.
    7. Petar Jovanovic & Sergi Nadal & Oscar Romero & Alberto Abelló & Besim Bilalli, 0. "Quarry: A User-centered Big Data Integration Platform," Information Systems Frontiers, Springer, vol. 0, pages 1-25.
    8. Arpan Kumar Kar & Vigneswara Ilavarasan & M. P. Gupta & Marijn Janssen & Ravi Kothari, 2019. "Moving beyond Smart Cities: Digital Nations for Social Innovation & Sustainability," Information Systems Frontiers, Springer, vol. 21(3), pages 495-501, June.
    9. Funda Ustek-Spilda & Davide Vega & Matteo Magnani & Luca Rossi & Irina Shklovski & Sebastian Lehuede & Alison Powell, 0. "A Twitter-Based Study of the European Internet of Things," Information Systems Frontiers, Springer, vol. 0, pages 1-15.
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    Cited by:

    1. Longling Zhang & Bochen Shen & Ahmed Barnawi & Shan Xi & Neeraj Kumar & Yi Wu, 2021. "FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia," Information Systems Frontiers, Springer, vol. 23(6), pages 1403-1415, December.
    2. Michael Weber & Martin Engert & Norman Schaffer & Jörg Weking & Helmut Krcmar, 2023. "Organizational Capabilities for AI Implementation—Coping with Inscrutability and Data Dependency in AI," Information Systems Frontiers, Springer, vol. 25(4), pages 1549-1569, August.
    3. Vinay Singh & Brijesh Nanavati & Arpan Kumar Kar & Agam Gupta, 2023. "How to Maximize Clicks for Display Advertisement in Digital Marketing? A Reinforcement Learning Approach," Information Systems Frontiers, Springer, vol. 25(4), pages 1621-1638, August.
    4. Matteo Francia & Patrick Marcel & Verónika Peralta & Stefano Rizzi, 2022. "Enhancing Cubes with Models to Describe Multidimensional Data," Information Systems Frontiers, Springer, vol. 24(1), pages 31-48, February.

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