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Harnessing Machine Learning and Big Data Analytics for Real-World Applications: A Comprehensive Survey

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Data Science and Intelligent Systems (CoMeSySo 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 231))

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Abstract

Due to the exponential amount of data that is been generated every day, Big Data Analytics became a thriving research area in many domains especially computer science in all over the world. Several application areas used Big Data Analytics successfully such as social media, finance, healthcare, economy, etc. The humongous amount of data generated is challenging to analyse. As the velocity, the variety amount and the speed of data increase the uncertainty, which cause doubt and lead to a lack of confidence in the analysis process and the decisions made. Accordingly, numerous Machine Learning techniques have been developed to offer solutions for Big data Analytics challenges. Compared to traditional data techniques and platforms, machine learning delivers more accurate, faster, and more scalable results in big data analysis. In this paper, we provide a brief overview of previous researches in Big Data Analytics, machine learning, and we highlight the challenges of Big Data Learning especially the uncertainty, as well as the different machine learning algorithms and applications.

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Authors and Affiliations

  1. Data Science and Competitive Intelligence Team, Applied Science Laboratory LSA, ENSAH, Abdelmalek Essaadi University, Al Hoceima, Morocco

    Soukaina Seddik, Hayat Routaib & Anass El Haddadi

Authors
  1. Soukaina Seddik
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  2. Hayat Routaib
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  3. Anass El Haddadi
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Correspondence to Soukaina Seddik .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Seddik, S., Routaib, H., El Haddadi, A. (2021). Harnessing Machine Learning and Big Data Analytics for Real-World Applications: A Comprehensive Survey. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Data Science and Intelligent Systems. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-030-90321-3_60

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