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@article{143360,
        author = {Ujjwala Urkude and Pratibha Richariya},
        title = {Naive baye’s classification algorithm in prediction of Flight delays using MR},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {11},
        pages = {227-231},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143360},
        abstract = {In proposed technique which is used Naive baye’s Algorithm a set of data into a set of predefined classes or groups . This paper  provides Flight dataset related queries. System is learning 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.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. While predictive schemes also use historical data, historical analytics bases assumptions and conclusions on carriers past performance with existing business, in existing markets. Predictive analytics, on the other hand, relies on insights about a group or market as a whole in order to help a carrier deliver the best possible experience.},
        keywords = {Big Data, MapReduce ,Hadoop, Classification Technique, Naive Baye’s Algorithm, Flight Dataset. },
        month = {},
        }