Big Data To Avoid Weather Related Flight Delays Seminar Abstract, Report

Research In The University Of Michigan
The students from the University of Michigan have started a new research which helps in understanding the weather of a particular place. They have taken data of the weather of the past 10 years. The analysis of this data helps in understanding the patterns in the weather. This is a very creative and new process. It could lead to understanding similarities in the weather in the past years. It could be of help in predicting the weather in the future. This can be very helpful for flights. With the help of this data, the flights can be cautious of bad weather in advance.

More About Big Data for Predictive analytics
The data used in this research is available publicly. Since it the hourly data of the last ten years, the data is huge in quantity. Hence, it has to be managed cleverly and all of it must be taken into consideration. The study of the weather is carried out keeping the flights and their journeys in mind. This enables the researchers to understand the effect of weather on a particular journey. This is a very unique study. It will help in predicting the delays or preventing them in certain cases.

Base idea: Predictive analytics
Predictive analytics is an area of data mining that deals with extracting information from data and using it to predict trends and behavior patterns. Often the unknown event of interest is in the future, but predictive analytics can be applied to any type of unknown whether it be in the past, present or future
Reference: http://en.wikipedia.org/wiki/Predictive_analytics

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