• C.GANGAMAHESWARI
• A.SURESHBABU

Location based services are used in positioning enabled devices through Social Media. It is increasing demand in physical world. It gives a many ways to track the record of human mobility, it includes user generated geo-tagged contents, check-in services. Mostly location based social networks have become the digital mirror to human mobility in physical world, which lends an opportunity to understand people’s behavior. A multiple status trajectory Embedding Model used to discover contexts in a systematic way which contains user-level, user-trajectory, user-location and temporal contexts. All this contextual Information provides better understanding between different contexts. This is all done for some selected datasets and has employed for trajectory data which has been already gathered in the database. In research area there is a trend on extraction of trajectory data in data mining and it handle demand of trajectory information. Data clustering is one of the best methods to group the same community data. This paper solves the automatic updation of data which is stored in geo-based applications and improves efficiency.

Trajectory Data, Contextual Information, Image sharing.

"An Embedding Model for Mining Human Trajectory Data with Image Sharing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 9, page no.248-252, September-2017, Available :http://www.jetir.org/papers/JETIR1709043.pdf

"An Embedding Model for Mining Human Trajectory Data with Image Sharing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 9, page no. pp248-252, September-2017, Available at : http://www.jetir.org/papers/JETIR1709043.pdf