Weather Report Calculation using Suffix Trees

A time series is a collection of data values are gathered.Periodic pattern mining or periodicity detection has a number of applications, such as prediction, forecasting, detection of unusual activities, etc. The problem is not trivial because the data to be analyzed are mostly noisy and different periodicity types (namely symbol, sequence, and segment) are to be investigated. The whole time series or in a subsection of it to effectively handle different types of noise (to a certain degree) and at the same time is able to detect different types of periodic pattern. This can detect symbol, sequence (partial), and segment (full cycle) periodicity in time series. The algorithm uses suffix tree as the underlying data structure; symbol means particular area in time series, sequence means particular time period and segment it is used half day temperature .In this paper we are using noise resilient and which can be used two nodes. So we are using sensor network, it works on heat temperature measuring .The temperature is varied from normal condition some incident occur in this place and we have to send an alert message to people.