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@article{144968,
        author = {Manaswini A Parlikar and Gayatri S. Mujumdar and Sonali Mortale},
        title = {Data Mining: A Review on Techniques, Tools},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {6},
        pages = {250-256},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144968},
        abstract = {Data mining is the process of extracting the useful data, patterns and trends from a large amount of data by using techniques like clustering, classification, association and regression. Many people treat data mining as a synonym for another popularly used term, Knowledge Discovery in Databases", or KDD. Alternatively, others view data mining as simply an essential step in the process of knowledge discovery in databases. Various tools are available which supports different algorithms. A summary about data mining tools available and the supporting algorithms is the objective of this paper. Comparison between various tools has also been done to enable the users use various tools according to their requirements and applications.},
        keywords = {Data mining, Tools, Classification, Clustering},
        month = {},
        }