Mining of Spatially Co-Located Moving Objects by Using CTMSPMINE
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 9, Issue 8
Abstract
In day to day life, vehicles have become important aspects in human life where each vehicle is manufactured for a particular purpose. Co-location pattern discovery is intended towards the processing data with spatial perspectives to determine classes of spatial objects that are frequently located together. Mining co-location patterns from spatial databases may disclose the types of spatial features which are likely located as neighbours in space. In the existing system they use FPtree to mine the spatial data. In this paper, I have presented an algorithm for mining spatially co-located moving objects using spatial data mining techniques. I propose a novel algorithm for co-location pattern mining which is used to identify the vehicles movements behaviour with the aid of Cluster based Temporal Mobile Sequential Pattern Mine Algorithm. Location Based Service alignment helps in finding the similarities between vehicles. An approach for Time segmentation is provided to find the time intervals where similar vehicle characteristics exist. In the experimental evaluation the proposed mining technique produces better results in spatial vehicle moving datasets.
Authors and Affiliations
K . Thanga Selvi , E . Baby Anitha
A Survey on Mobility Management Protocols for Improving Handover Performance
The wireless and mobile communication systems have enormous growth in recent years because many people use mobile devices for acquiring different services like browsing, multimedia applications and file sharing etc. Mobi...
A New Web Based Student Annual Review Information System (SARIS) With Student Success Prediction
In this paper, we are proposing new web based Student Annual Review Information System (SARIS) and prediction method for the success of scholar students to China Scholarship Council(CSC). The main objective of developing...
[i][/i]
Information Extraction using Incremental Approach
Data mining is playing vital role in text extraction as now a day’s large amount of data available in scientific research, biomedical literature and web data. Data retrieval using existing approaches use sequential appro...
Link Prediction in Protein-Protein Networks: Survey
Protein networks have a great importance in biological activities. Protein-Protein interaction occurs when two or more proteins interact together to carry out some biological activities. For example signals from the exte...