@incollection{SisLab4046,
           month = {August},
          author = {Nguyen Tuan Thanh Le and Manh Linh Pham},
          series = {Big Data for Industry 4.0: Challenges and Applications},
       booktitle = {Industry 4.0 Interoperability, Analytics, Security, and Case studies},
          editor = {G. Rajesh and Raajini X. Mercilin and Thi Thu Hien Dang},
           title = {Big Data Analytics and Machine Learning for Industry 4.0: An Overview},
       publisher = {CRC Press-Taylor \& Francis Group, LLC},
            year = {2020},
        keywords = {Big Data Analytics, Industry 4.0, Machine Learning, Deep
Learning},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4046/},
        abstract = {Our industry is now upgrading to the next industrial revolution, or Industry 4.0, which have been generating massive data that we have never seen before. It requires us to employ new methods to take advantage of this fast and big data. Optimizing and fully automated production, by harnessing cutting-edge technologies, are the ultimate goals of Industry 4.0. Among various advanced and cutting-edge technologies, machine learning (ML) and big data analytics (BDA) have been incorporated and applied successfully to obtain insights from the data and help to adjust automatically industrial processes as needed.}
}