SHIP ROUTE MINING AND PATH OPTIMIZATION IN HADOOP
Shabana M A
, Elizabeth Isaac
PSO (Particle Swarm Optimization), SP (Shortest Path)
Mining trajectory data has been attracting significant interest in the last years. By analyzing trajectory data, we are able to discover the movement behavior and location aware knowledge, and then develop many interesting applications such as movement behavior discovery, location prediction, traffic analysis, and so on. In the proposed system it provides a framework of ship route mining thereby discovering the shortest path between source and destinations also detect the ships moving in a different path which is not similar to the frequently taken path. The shortest path (SP) problem concerns with finding the shortest path from a specific origin to a specified destination in a given network while minimizing the total cost associated with the path. Particle swarm optimization is a population based stochastic optimization technique inspired by the social behavior of bird flock. The proposed system uses the PSO based search method to obtain a best route from source to destination. The PSO starts with a population of particles whose positions, that represent the potential solutions for the studied problem, and velocities are randomly initialized in the search space. The search for optimal position (solution) is performed by updating the particle velocities. The different path taken by the ships may be due some terrorist attack or due to weather conditions. The system is to generate the optimum ships routes and detect the ships showing different pattern in their route.
"SHIP ROUTE MINING AND PATH OPTIMIZATION IN HADOOP", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.676 - 682, May-2018, Available :https://ijsdr.org/papers/IJSDR1805104.pdf
Volume 3
Issue 5,
May-2018
Pages : 676 - 682
Paper Reg. ID: IJSDR_180340
Published Paper Id: IJSDR1805104
Downloads: 000347395
Research Area: Engineering
Country: Aluva, Ernakulam, Kerala, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
