TY - GEN
T1 - Path independent real time points of interest detection in road networks
AU - Rohella, Anshuman
AU - Singh, Sanjay
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Finding regions of interest is a challenge when traveling in an unfamiliar area. Users traveling in an unfamiliar region may like to travel in a direction which includes places that are interesting to them. In this paper we propose a method of finding nearby regions for potential Points of Interest (POI) (e.g., sightseeing places and commercial centers) while traveling in an undefined path. A continuous algorithm is proposed to address these challenges. Conceptually, the algorithm searches for nearby spatial objects(POIs or geo-tagged tweets). Distance and density are the two factors used to progress as well as stop the search. The search space is constrained using density and distance threshold along with an adjustment factor to adjust the importance of the two domains. The performance of the continuous algorithm is measured based on experiments conducted on spatial data. The experimental results has shown to retrieve all the POIs on a unfamiliar path in the real time.
AB - Finding regions of interest is a challenge when traveling in an unfamiliar area. Users traveling in an unfamiliar region may like to travel in a direction which includes places that are interesting to them. In this paper we propose a method of finding nearby regions for potential Points of Interest (POI) (e.g., sightseeing places and commercial centers) while traveling in an undefined path. A continuous algorithm is proposed to address these challenges. Conceptually, the algorithm searches for nearby spatial objects(POIs or geo-tagged tweets). Distance and density are the two factors used to progress as well as stop the search. The search space is constrained using density and distance threshold along with an adjustment factor to adjust the importance of the two domains. The performance of the continuous algorithm is measured based on experiments conducted on spatial data. The experimental results has shown to retrieve all the POIs on a unfamiliar path in the real time.
UR - https://www.scopus.com/pages/publications/85020035422
UR - https://www.scopus.com/inward/citedby.url?scp=85020035422&partnerID=8YFLogxK
U2 - 10.1109/IC3I.2016.7918040
DO - 10.1109/IC3I.2016.7918040
M3 - Conference contribution
AN - SCOPUS:85020035422
T3 - Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016
SP - 633
EP - 638
BT - Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016
A2 - Aradhya, V N Manjunatha
A2 - Niranjan, S K
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016
Y2 - 14 December 2016 through 17 December 2016
ER -