Effective Use of Pattern Discovery for Detection of Fraudulent Patterns in Railway Reservation

Corruption is the biggest issue that is increasingly affecting India and making its economy weak. The corrupt activities adversely effects the people and makes their living cumbersome. Fraudulent activities are increasing every year. The development of new technologies has also provided further ways in which criminals may commit fraud. Data mining concepts and techniques can be used to control these frauds. Data mining is the process of extracting useful knowledge from a large set of data. This hidden knowledge may help decision makers to detect illegal activities. In this paper, we have proposed a mechanism which uses these data mining techniques to detect unusual patterns in railway reservation dataset. This will help Railways to take precautionary measures when something bad happens. In our study we have used association rule mining techniques to detect fraudulent activities like fake bookings and unusual patterns like ticket booking by same person of different trains departing at same time on same date.