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@article{178649,
        author = {D. Kavitha and P.Sony and D. Manvitha Rani and A. Upendhar},
        title = {IDENTIFICATION OF ALGORITHM BASED ON GIVEN DATASET USING AI-ML TECHNIQUES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4352-4356},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178649},
        abstract = {Today, as data continues to reach immense proportions (such as those generated by social media, smart devices, and digital platforms), traditional modes of data analysis tend to be inaccurate and slow. This project leverages artificial intelligence (AI) and machine learning (ML) to address one of big data’s greatest challenges that is selecting the proper algorithm for a given dataset.
Rather than guess and check, the system examines features like size and structure, and data types of the dataset to determine what type of problem it is whether classification, regression3, clustering, or anomaly detection. It recommends an algorithm with the combination of the exploration process described above, so that the selection of the best algorithm is more efficient.
The project includes tools for data processing, finding patterns, building models, and measuring their performance. It also lets users compare different algorithms.},
        keywords = {},
        month = {May},
        }