
Discovering Clusters of nearby Routes in Spatial Networks
Author(s) -
Vellampalli Vikas,
Debasish Das,
B. Bharathi
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/590/1/012011
Subject(s) - path (computing) , computer science , set (abstract data type) , tree (set theory) , decision tree , data mining , artificial intelligence , mathematics , combinatorics , computer network , programming language
Now-a-days finding which is the best path to travel from one place to another place is difficult and also confusing. So TSR(Trajectory search by regions of interest) query is proposed.TSR query takes set of inputs called places and returns best possible path to travel between this two places. To find this best path, decision tree(best first search) and naïve bayes classification along with sentiment analysis are being used.