Naive baye’s classification algorithm in prediction of Flight delays using MR

Naive baye’s classification algorithm in prediction of Flight delays using MR
Author(s):
Ujjwala Urkude, Pratibha Richariya
Keywords:
Big Data, MapReduce ,Hadoop, Classification Technique, Naive Bayeā€™s Algorithm, Flight Dataset.
Abstract
In proposed technique which is used Naive bayeā€™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 Bayeā€™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.
Article Details
Unique Paper ID: 143360 Publication Volume & Issue: Volume 2, Issue 11 Page(s): 227 - 231
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org