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@article{181584,
        author = {BHUVANESH K and SATHYA M.R},
        title = {PREDICTIVE ANALYSIS OF ROAD ACCIDENTS USING DATA MINING AND MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {5068-5071},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181584},
        abstract = {Prescient investigation utilizing information mining and machine learning is fundamental for making strides street security and decreasing accident-related fatalities. This considers applies different procedures to analyze chronicled street mischance information, centering on variables like climate, street sort, time, and activity thickness. Machine learning models such as Choice Trees, Arbitrary Woodlands, Bolster Vector Machines, and Neural Systems are utilized to foresee mishap seriousness, areas, and causes. Preprocessing strategies like cleaning and normalization improve show precision. The discoveries highlight the adequacy of prescient analytics in recognizing mishap designs, helping activity administration, and making difference policymakers actualize measures to anticipate mischances and spare lives.},
        keywords = {Accident prediction, Machine Learning, Data mining, Data preprocessing, Classification},
        month = {June},
        }