VoLTE problem location method based on big data

Cancer's Big Data Problem

Improving Destination Choice Modeling Using Location-Based Big Data

Citizens are increasingly sharing their location and movements through‘check-ins’ on location based social networks (LBSNs). These services are collecting unprecedented amounts of big data that can be used to study how we travel and interact with our environment. This paper will present the development of a destination choice model for Ontario, Canada which uses data from Foursquare, the larges...

Agent-based problem solving methods in Big Data environment

This special issue particularly focuses on using agent-based methods to solve the complex computational problems arising in Big Data environments. It covers the recent advances in the areas of distributed problem solving, agent-based data mining, as well as recommendation systems, working with data extracted from both physical and online environments.

Research on Credibility Measurement Method of Data In Big Data

On the basis of analytical theory of credible traditional data, this paper constructs a hierarchical trusted network model of dynamic data analysis by increasing time factor, penalty factor and other weight parameters, which puts the credibility of the analysis of the problem down to the big data combinatorial problems of between the data sources, data source and data dissemination network path...

Solving Bus Terminal Location Problem Using Simulated Annealing Method

Bus network design is an important problem in public transportation. A main step to this design is determining the number of required terminals and their locations. This is a special type of facility location problem, which is a time-consuming, large scale, combinatorial problem. In a previous attempt by the authors, this problem had been solved by GAMS, based on a branch and bound algorithm.&...