Airline recommender- Map Reduce way of Optimizing analytical work loads

Most of the people travelling through flight experience delay time in the daily bases. The average delay was no were mention in the public web sites. The model proposed in this paper analyze a huge international data to develop a person's co-relation of delay time, based on hadoop map reducing algorithms. The Pearson's co-relation algorithm was implemented using Mahout to get results for flight delayed times. The outputs thus created helps the user choosing the flight based on the delay times. This procedure has very low time complexity and very high efficient.