[
  {
    "id": "10.1007/978-981-16-5685-9_12",
    "type": "chapter",
    "title": "Exploratory Review of Applications of Machine Learning in the Finance Sector",
    "author": [
      {
        "family": "Rakshit",
        "given": "Sandip"
      },
      {
        "family": "Clement",
        "given": "Nyior"
      },
      {
        "family": "Vajjhala",
        "given": "Narasimha Rao"
      }
    ],
    "editor": [
      {
        "literal": "Samarjeet Borah"
      },
      {
        "literal": "Sambit Kumar Mishra"
      },
      {
        "literal": "Brojo Kishore Mishra"
      },
      {
        "literal": "Valentina Emilia Balas"
      },
      {
        "literal": "Zdzislaw Polkowski"
      }
    ],
    "container-title": "Advances in Data Science and Management: Proceedings of ICDSM 2021",
    "collection-title": "Lecture Notes on Data Engineering and Communications Technologies",
    "issued": {
      "date-parts": [
        [
          2022,
          2,
          13
        ]
      ]
    },
    "volume": "86",
    "page": "119-125",
    "publisher": "Springer Nature Singapore",
    "ISSN": "2367-4512",
    "ISBN": "9789811656859",
    "DOI": "10.1007/978-981-16-5685-9_12",
    "URL": "https://www.narasimharao.net/research/machine-learning-applications-finance-sector-review/",
    "abstract": "The finance sector is one of the key pillars of any nation’s economy. However, with the emergence of big data and rapid advancements in technology, the finance sector is processing significant amounts of heterogenous data. Institutions in the finance sector are increasingly using machine learning algorithms and techniques to process these heterogenous data. This exploratory review provides an in-depth look at the machine learning applications in the finance sector. The state-of-the-art machine learning applications in the finance sector were reviewed in this exploratory study. The primary research question addressed in this study was to explore the machine learning algorithms and techniques applied to the applications in the finance sector. Various machine learning algorithms and techniques used in finance sector were broadly discussed in this study. This study also provides some suggestions about how machine learning can maximize productivity in the finance sector.",
    "keyword": "Machine learning, Supervised learning, Unsupervised learning, Finance, Security, Algorithmic trading, Artificial intelligence, Data science, machine learning in finance, financial technology, supervised learning, unsupervised learning, algorithmic trading, big data in finance, financial security, data science, exploratory review",
    "language": "en"
  }
]