Prediction of Cell Phone Client’s Location utilizing Semantic Trajectory
J. Venkata Subramanian1, S. Govindarajan2
1J. Venkata Subramanian*, Department of Computer Applications, SRM Institute of Science and Technology, Chennai, India.
2Dr. S. Govindarajan, Professor, Department of EDP, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on January 23, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 3426-3430 | Volume-9 Issue-3, February 2020. | Retrieval Number: C5976029320/2020©BEIESP | DOI: 10.35940/ijeat.C5976.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Investigation on anticipating developments of cell phone consumers has pulled in a great deal of considerations lately. Considerable foreseeing procedures are created dependent on geographic zonal highlights of cell phone abuser’s directions. In this research, we put forward a new methodology for anticipating the subsequent place of a client’s development dependent in cooperation of the territory and semantic highlights of clients’ directions. Center thought of the expectation structure depends on new cluster centered forecast technique it assesses the subsequent place a cell phone client dependent on the continuous practices of comparable clients in analogous group controlled by dissecting clients’ normal conduct in semantic directions. Through an exhaustive assessment by tests, our proposition is appeared to convey fantastic execution.
Keywords: Semantic Trajectory, location prediction, spatial temporal, Reality Mining dataset, mobile phone, LBS.