A Distributed Mining Algorithm for Tracking of Moving Objects Efficiently in a Network
The tracking of moving objects finds a single object or group of object with similar movement pattern in network structure. The objective of this paper is to find the movement of objects in local area network with same behavior and same category. The first phase is to mine the objects with similar pattern. This process involves local mining phase which is used to find movement patterns based on the local trajectories. The mining results track the moving object efficiently and at the same time data mining algorithm achieves to reduce the energy consumption. The proposed work involves the tracking of similar files over a local area network.