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@article{148055,
        author = {Rahul Bajaj and Srishti Kohli},
        title = {Visualizing and Predicting the type of Malware in Security Dataset with Machine Learning using Python libraries and Tableau},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {12},
        pages = {632-638},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148055},
        abstract = {In this paper, the different varieties of malware have been introduced and explained. Using Tableau we have implemented a few visualisation techniques on a malware dataset to visualise the prime characteristics and attributes of the various kinds of malware. Furthermore, we have used python libraries for classification of malware from the data provided in the malware dataset, using machine learning algorithms (primarily Decision Trees and its variations) in jupyter notebook,  to obtain a high level of accuracy.},
        keywords = {security, malware, decision tree, random-forest, logistic regression},
        month = {},
        }