z-logo
open-access-imgOpen Access
Uncertainty Modeling of a Group Tourism Recommendation System Based on Pearson Similarity Criteria, Bayesian Network and Self-Organizing Map Clustering Algorithm
Author(s) -
Somayeh Aliyari,
Najmeh Neissani Samani,
Mohammad Reza Jelokhani Nayarki
Publication year - 2020
Publication title -
journal of geospatial information technology
Language(s) - English
Resource type - Journals
eISSN - 2538-418X
pISSN - 2008-9635
DOI - 10.29252/jgit.8.1.39
Subject(s) - cluster analysis , similarity (geometry) , pearson product moment correlation coefficient , computer science , data mining , bayesian network , tourism , group (periodic table) , bayesian probability , artificial intelligence , algorithm , pattern recognition (psychology) , machine learning , mathematics , statistics , geography , image (mathematics) , chemistry , archaeology , organic chemistry

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom