Mining of Cyclic Periodic Patterns for Prediction System
N. Sumathi, S. Sathiyabama · 2014
Location prediction has attracted a significant amount of research effort. Given an object’s recent movements and a future time, the goal of location prediction is to predict the location of this object at the future time specified. Prior works have elaborated on mining association relationships among regions, in which objects frequently appear, to predict locations. In this paper, first we, pre-process the data for remove the unnecessary locations of the all objects. With the help of the clustering algorithm, we develop an algorithm for mining the cyclic periodic patterns. After mining the cyclic periodic patterns, the prediction of next location can be done with the help of prediction model. This prediction of next location is useful to find the historical movements of objects in future. The proposed mining technique will be implemented using JAVA and the experimental evaluation with the truck dataset will be done to show the effectiveness of our proposed method