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@article{143351,
        author = {Ujjwala Urkude},
        title = {Big Data Analysis by Classification Algorithm Using Flight Data Set},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {10},
        pages = {188-189},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143351},
        abstract = {In this work, we proposed a technique with broad application which is used to classify each item in a set of data into a set of predefined classes or groups .Big Data concept comes into existence .This is a tedious works for user to identify accurate data from huge unstructured data .As the years go on the web is overloaded with lots of information .Where Classification is a process  of generalizing the data according to different instances .Several major kinds of classification algorithm C4.5 ,Decision Tree ,J48, ID3, includes Naive Baye’s algorithm  This paper  provides Flight dataset related queries. System is learn that is capable of predicting the number of aircraft in certain region of the airspace at a given time with greater accuracy than similar Model. The Naive Baye’s Classifier on the data set on different size for different cluster configuration provides the potential data as well as aspects that affect its performance.},
        keywords = {},
        month = {},
        }