IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v25y2023i1d10.1007_s10796-020-10056-x.html
   My bibliography  Save this article

Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities

Author

Listed:
  • Damminda Alahakoon

    (La Trobe University)

  • Rashmika Nawaratne

    (La Trobe University)

  • Yan Xu

    (Northwestern Polytechnical University)

  • Daswin Silva

    (La Trobe University)

  • Uthayasankar Sivarajah

    (University of Bradford)

  • Bhumika Gupta

    (Institut Mines-Telecom Business School, Research Lab: LITEM)

Abstract

The emerging information revolution makes it necessary to manage vast amounts of unstructured data rapidly. As the world is increasingly populated by IoT devices and sensors that can sense their surroundings and communicate with each other, a digital environment has been created with vast volumes of volatile and diverse data. Traditional AI and machine learning techniques designed for deterministic situations are not suitable for such environments. With a large number of parameters required by each device in this digital environment, it is desirable that the AI is able to be adaptive and self-build (i.e. self-structure, self-configure, self-learn), rather than be structurally and parameter-wise pre-defined. This study explores the benefits of self-building AI and machine learning with unsupervised learning for empowering big data analytics for smart city environments. By using the growing self-organizing map, a new suite of self-building AI is proposed. The self-building AI overcomes the limitations of traditional AI and enables data processing in dynamic smart city environments. With cloud computing platforms, the self-building AI can integrate the data analytics applications that currently work in silos. The new paradigm of the self-building AI and its value are demonstrated using the IoT, video surveillance, and action recognition applications.

Suggested Citation

  • Damminda Alahakoon & Rashmika Nawaratne & Yan Xu & Daswin Silva & Uthayasankar Sivarajah & Bhumika Gupta, 2023. "Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities," Information Systems Frontiers, Springer, vol. 25(1), pages 221-240, February.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:1:d:10.1007_s10796-020-10056-x
    DOI: 10.1007/s10796-020-10056-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-020-10056-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-020-10056-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ilias O. Pappas & Patrick Mikalef & Michail N. Giannakos & John Krogstie & George Lekakos, 2018. "Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies," Information Systems and e-Business Management, Springer, vol. 16(3), pages 479-491, August.
    2. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    3. Andrew Whitmore & Anurag Agarwal & Li Xu, 2015. "The Internet of Things—A survey of topics and trends," Information Systems Frontiers, Springer, vol. 17(2), pages 261-274, April.
    4. 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.
    5. Ahmed Emam, 2015. "Intelligent drowsy eye detection using image mining," Information Systems Frontiers, Springer, vol. 17(4), pages 947-960, August.
    6. Parul Gupta & Sumedha Chauhan & M. P. Jaiswal, 2019. "Classification of Smart City Research - a Descriptive Literature Review and Future Research Agenda," Information Systems Frontiers, Springer, vol. 21(3), pages 661-685, June.
    7. Lin, Angela & Chen, Nan-Chou, 2012. "Cloud computing as an innovation: Percepetion, attitude, and adoption," International Journal of Information Management, Elsevier, vol. 32(6), pages 533-540.
    8. Eldrandaly, Khalid A. & Abdel-Basset, Mohamed & Abdel-Fatah, Laila, 2019. "PTZ-Surveillance coverage based on artificial intelligence for smart cities," International Journal of Information Management, Elsevier, vol. 49(C), pages 520-532.
    9. Shancang Li & Li Da Xu & Shanshan Zhao, 2015. "The internet of things: a survey," Information Systems Frontiers, Springer, vol. 17(2), pages 243-259, April.
    10. Li Wang & Lida Xu & Renjing Liu & Hai Hong Wang, 2010. "An approach for moving object recognition based on BPR and CI," Information Systems Frontiers, Springer, vol. 12(2), pages 141-148, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Hong Jiang & Shuyu Sun & Hongtao Xu & Shukuan Zhao & Yong Chen, 2020. "Enterprises' network structure and their technology standardization capability in Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 749-765, July.
    3. Mohammad Soltani Delgosha & Tahereh Saheb & Nastaran Hajiheydari, 0. "Modelling the Asymmetrical Relationships between Digitalisation and Sustainable Competitiveness: A Cross-Country Configurational Analysis," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    4. Chae, Bongsug (Kevin), 2018. "The Internet of Things (IoT): A Survey of Topics and Trends using Twitter Data and Topic Modeling," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190376, International Telecommunications Society (ITS).
    5. Qinghua Zheng & Chutong Yang & Haijun Yang & Jianhe Zhou, 2020. "A Fast Exact Algorithm for Deployment of Sensor Nodes for Internet of Things," Information Systems Frontiers, Springer, vol. 22(4), pages 829-842, August.
    6. Peter M. Bednar & Christine Welch, 0. "Socio-Technical Perspectives on Smart Working: Creating Meaningful and Sustainable Systems," Information Systems Frontiers, Springer, vol. 0, pages 1-18.
    7. Ardito, Lorenzo & D'Adda, Diego & Messeni Petruzzelli, Antonio, 2018. "Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 317-330.
    8. Payam Hanafizadeh & Parastou Hatami & Morteza Analoui & Amir Albadvi, 2021. "Business model innovation driven by the internet of things technology, in internet service providers’ business context," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1175-1243, December.
    9. Federica Cena & Luca Console & Assunta Matassa & Ilaria Torre, 2019. "Multi-dimensional intelligence in smart physical objects," Information Systems Frontiers, Springer, vol. 21(2), pages 383-404, April.
    10. Yogesh K. Dwivedi & Elvira Ismagilova & Nripendra P. Rana & Ramakrishnan Raman, 2023. "Social Media Adoption, Usage And Impact In Business-To-Business (B2B) Context: A State-Of-The-Art Literature Review," Information Systems Frontiers, Springer, vol. 25(3), pages 971-993, June.
    11. Oscar Brousse & Charles H. Simpson & Ate Poorthuis & Clare Heaviside, 2024. "Unequal distributions of crowdsourced weather data in England and Wales," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    12. Pan Wang & Ricardo Valerdi & Shangming Zhou & Ling Li, 2015. "Introduction: Advances in IoT research and applications," Information Systems Frontiers, Springer, vol. 17(2), pages 239-241, April.
    13. Shang, Juan & Li, Pengfei & Li, Ling & Chen, Yong, 2018. "The relationship between population growth and capital allocation in urbanization," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 249-256.
    14. Jens Passlick & Sonja Dreyer & Daniel Olivotti & Lukas Grützner & Dennis Eilers & Michael H. Breitner, 2021. "Predictive maintenance as an internet of things enabled business model: A taxonomy," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 67-87, March.
    15. Salvatore T. March & Gary D. Scudder, 2019. "Predictive maintenance: strategic use of IT in manufacturing organizations," Information Systems Frontiers, Springer, vol. 21(2), pages 327-341, April.
    16. Belfiore, Alessandra & Cuccurullo, Corrado & Aria, Massimo, 2022. "IoT in healthcare: A scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    17. Tussyadiah, Iis, 2020. "A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism," Annals of Tourism Research, Elsevier, vol. 81(C).
    18. Jun Zhang & Shuyang Li & Yichuan Wang, 2023. "Shaping a Smart Transportation System for Sustainable Value Co-Creation," Information Systems Frontiers, Springer, vol. 25(1), pages 365-380, February.
    19. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
    20. Dameri, Renata Paola & Benevolo, Clara & Veglianti, Eleonora & Li, Yaya, 2019. "Understanding smart cities as a glocal strategy: A comparison between Italy and China," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 26-41.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:25:y:2023:i:1:d:10.1007_s10796-020-10056-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.