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Data Science for Internet of Things (IoT)

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Second International Conference on Computer Networks and Communication Technologies (ICCNCT 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 44))

Abstract

The term data science has been floating around as a popular terminology among social media applications globally. The associated device called IoT generates more than 2.5 quintillion bytes of statistics step by step, which could basically impact the business shapes. There is no doubt that the rising technology of IoE (Internet of Everything) is dependent on Data Science concept. The Industrial Internet of Things (IIoT) which makes up a good proportion of IoT tries to analyze the data they record and turn the data into meaningful information. In customary Data Science, the investigation is static and confined being used. The information that is got may not be refreshed so the outcomes accomplished in the wake of preparing may not be shrewd or usable. Then again, since IoT information is being got continuously, the investigation supplement the most recent market designs which permits making this investigation more significant and wise when contrasted with customary ones. Additionally, as more innovation layers are included or incorporated with IoT, it turns out to be harder to structure and process the huge numbers of approaching information. So truly, Data Scientists do need to up their aptitude with the end goal to grasp IoT-created information. As the engaging quality of IoT expands a flood of information lies later on. It is bound to the change the manner in which has seen Data Science for quite a while. The blast in information isn’t just going to require better foundation however more astute Data Scientists. Information Science for IoT can help overcome some wide-reaching difficulties in order to make more precise choices. This paper initiates to fulfill the readers to let identify the effective utilization of data science in IOT Platform in upcoming Era as IoT Opportunities for Data science as secured manner.

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Author information

Authors and Affiliations

  1. Department of Computer Science, King Khalid University, Sarat Abidha Campus, Abha, Kingdom of Saudi Arabia

    M. Devi & R. Dhaya

  2. Department of Computer Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia

    R. Kanthavel

  3. Department of Computing and Information Technology, University of Bisha, Bisha, Kingdom of Saudi Arabia

    Fahad Algarni

  4. Department of ECE, Sona College of Technology, Salem, Tamilnadu, India

    Pooja Dixikha

Authors
  1. M. Devi
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  2. R. Dhaya
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  3. R. Kanthavel
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  4. Fahad Algarni
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  5. Pooja Dixikha
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Corresponding author

Correspondence to R. Dhaya .

Editor information

Editors and Affiliations

  1. Department of Computer Science Engineering, RVS Technical Campus, Coimbatore, Tamil Nadu, India

    S. Smys

  2. University of the Ryukyus, Okinawa, Japan

    Tomonobu Senjyu

  3. Department of Telecommunication Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic

    Pavel Lafata

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Devi, M., Dhaya, R., Kanthavel, R., Algarni, F., Dixikha, P. (2020). Data Science for Internet of Things (IoT). In: Smys, S., Senjyu, T., Lafata, P. (eds) Second International Conference on Computer Networks and Communication Technologies. ICCNCT 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-030-37051-0_7

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  • DOI: https://doi.org/10.1007/978-3-030-37051-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37050-3

  • Online ISBN: 978-3-030-37051-0

  • eBook Packages: EngineeringEngineering (R0)

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