Episode Discovery from Event Evolution

Event evolution is the most challenging task now days. There are series of events which are incident in a sequence and event evolution is used to arrange and show these events in the exact way as they occur. Lack of appropriate integration between events information causes severe problem as they misguide users.For example due to some reason if any flight is delayed and after a span of time it is rescheduled and not updated by various resources, and now if user searches the information of that flight via internet he will not able to find the correct status. So, the major concepts based on event evolution are: Collection of events, Validation of events instantly and Publishing of events. If events collected from various sources are not validated properly the incorrect information willbe reached to the user and the verified events must be published instantly so that user can access most recent document. This paper proposes a model forevent evolution and generates a graph for events as they occur. Keywords-TDT, Event Evolution Graph, Event Tracking.