Paper Info
Title
Online system for the construction of structural models of information flows
Abstract
The paper describes architecture of the online system intended for construction of the structural models of information flows by the probabilistic methods. The system is based on the mixture models of probability distributions and their implementations as the online service. An online computing allows to analyze big data by various researchers from all over the world. Such approach can be benefit for researchers because they do not have to search and install for a special software. Different researchers can get consistent results and share them easily.
Year
DOI
Venue
2015
10.1109/ICUMT.2015.7382430
2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
Keywords
Field
DocType
online system,probabilistic methods,probability distributions mixture model,online computing
Data mining,Architecture,Computer science,Implementation,Theoretical computer science,Probabilistic method,Software,Probability distribution,Big data,Mixture model
Conference
ISSN
Citations 
PageRank 
2157-0221
0
0.34
References 
Authors
3
2
Name
Order
Citations
PageRank
Andrey Gorshenin113.67
Victor Kuzmin2262.89