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Results for Big Data

Publications & Outputs

  1. Using big data to understand carbon recovery and habitat availability in the Amazon biome

    Smith, C. C., 2022, Lancaster University. 192 p.

    Research output: ThesisDoctoral Thesis

  2. Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World

    Firouzi, F., Farahani, B., Daneshmand, M., Grise, K., Song, J., Saracco, R., Wang, L. L., Lo, K., Angelov, P., Almeida Soares, E., Po-Shen Loh, Talebpour, Z., Moradi, R., Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, & 12 othersDana Pasquale, James Moody, James Moodys, Chris Woods, Erich S. Huang, Payam Barnaghi, Sarrafzadeh, M., Ron Li, Kristen L Beck, Olexandr Isayev, Nakmyoung Sung & Alan Luo, 31/08/2021, In: IEEE Internet of Things Journal. 8, 16, p. 12826-12846 21 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. 'Pauper aliens' and 'political refugees': A corpus linguistic approach to the language of migration in nineteenth-century newspapers

    Byrne, R., 2020, Lancaster University. 343 p.

    Research output: ThesisDoctoral Thesis

  4. Evidence-aware Mobile Computational Offloading

    Flores, H., Hui, P., Nurmi, P., Lagerspetz, E., Tarkoma, S., Manner, J., Kostakos, V., Li, Y. & Su, X., 1/08/2018, In: IEEE Transactions on Mobile Computing. 17, 8, p. 1834-1850 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Architectures of value: moving leaders beyond big data and analytics

    Hesketh, A. J., 10/2017, A Research Agenda for Human Resource Management. Sparrow, P. & Cooper, C. (eds.). Cheltenham: Edward Elgar, (Elgar Research Agendas).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

  6. Everyday surveillance

    Briggs, P., Churchill, E., Levine, M., Nicholson, J., Pritchard, G. W. & Olivier, P., 7/05/2016, CHI EA '16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. New York: Association for Computing Machinery (ACM), p. 3566-3573 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  7. Dynamic constructs competition miner - occurrence- vs. time-based ageing

    Redlich, D., Molka, T., Gilani, W., Blair, G. S. & Rashid, A., 19/11/2015, Data-Driven Process Discovery and Analysis: 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers. Ceravolo, P., Russo, B. & Accorsi, R. (eds.). Springer, p. 79-106 28 p. (Lecture Notes in Business Information Processing; vol. 237).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  8. Evolving classifier TEDAClass for big data

    Kangin, D., Angelov, P. P., Iglesias, J. A. & Sanchis, A., 08/2015, In: Procedia Computer Science. 53, p. 9-18 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Sustaining Computer's impact and adapting to change

    Helal, S., 2015, In: Computer. 48, 1, p. 7-9 3 p.

    Research output: Contribution to Journal/MagazineEditorial

  10. emoto: Visualising the online emotional response to London 2012

    Hemment, D., 2012, London : London 2012 Festival and the Cultural Olympiad.

    Research output: Other contribution