An Approach to Clustering of Text Documents Using Graph Mining Techniques

2017 ◽  
Vol 4 (1) ◽  
pp. 38-55 ◽  
Author(s):  
Bapuji Rao ◽  
Brojo Kishore Mishra
Keyword(s):  
Programming Language ◽  
Graph Mining ◽  
Human Interaction ◽  
Automated System ◽  
Text Documents ◽  
New Approach ◽  
C Programming Language ◽  
C Programming ◽  
Word Relation ◽  
The Given

This paper introduces a new approach of clustering of text documents based on a set of words using graph mining techniques. The proposed approach clusters (groups) those text documents having searched successfully for the given set of words from a set of given text documents. The document-word relation can be represented as a bi-partite graph. All the clustering of text documents is represented as sub-graphs. Further, the paper proposes an algorithm for clustering of text documents for a given set of words. It is an automated system and requires minimal human interaction for the clustering of text documents. The algorithm has been implemented using C++ programming language and observed satisfactory results.

An Approach to Opinion Mining in Community Graph Using Graph Mining Techniques

2018 ◽  
Vol 9 (2) ◽  
pp. 94-110
Author(s):  
Bapuji Rao
Keyword(s):  
Programming Language ◽  
Human Activities ◽  
Graph Mining ◽  
Opinion Mining ◽  
Government Agencies ◽  
Central Theme ◽  
C Programming Language ◽  
C Programming ◽  
The Government ◽  
Almost All

Opinions are the central theme to almost all human activities, as well the key influencers of our behaviours. Opinions related to sentiments, evaluations, attitudes, and emotions are the features of studying of opinion mining. It is important to study peoples of various communities sentiments about the schemes implemented by the government agencies as well as NGOs. The opinion mining is about the opinions of various communities of villages of a Panchayat about various social schemes implemented by the government of India. This article proposes an algorithm for opinion mining in a community graph for various social schemes run by the Panchayat using graph mining techniques. The algorithm has been implemented in C++ programming language.

scholarly journals Parallel programming technologies on computer complexes

2020 ◽  
Vol 30 (3) ◽  
pp. 28-33 ◽  
Author(s):  
S. A. Pryadko ◽  
A. Yu. Troshin ◽  
V. D. Kozlov ◽  
A. E. Ivanov
Keyword(s):  
Parallel Programming ◽  
Shared Memory ◽  
Programming Language ◽  
Operating Systems ◽  
Distributed Memory ◽  
Programming Models ◽  
Writing Programs ◽  
Advantages And Disadvantages ◽  
C Programming Language ◽  
C Programming

The article describes various options for speeding up calculations on computer systems. These features are closely related to the architecture of these complexes. The objective of this paper is to provide necessary information when selecting the capability for the speeding process of solving the computation problem. The main features implemented using the following models are described: programming in systems with shared memory, programming in systems with distributed memory, and programming on graphics accelerators (video cards). The basic concept, principles, advantages, and disadvantages of each of the considered programming models are described. All standards for writing programs described in the article can be used both on Linux and Windows operating systems. The required libraries are available and compatible with the C/C++ programming language. The article concludes with recommendations on the use of a particular technology, depending on the type of task to be solved.

scholarly journals Computing support for testing equal values of the figurative numbers in the Pascal triangle

2020 ◽  
Vol 2 (7) ◽  
pp. 36-41
Author(s):  
Miroslava Mihajlov Carević ◽  
Miloš Ilić ◽  
Milena Petrović ◽  
Nebojša Denić
Keyword(s):  
Programming Language ◽  
Mathematical Analysis ◽  
Computer Laboratory ◽  
C Programming Language ◽  
Pascal Triangle ◽  
C Programming ◽  
Computing Support

In this paper we deal with a method for the determination of numbers in a Pascal triangle that are simultaneously triangular, tetrahedral and pentaedroidni. The collected results, obtained by mathematical analysis, were verified by computer. For this purpose, we used the C# programming language as well as the computer laboratory within our University in order to test the results. The results collected by computer confirmed the accuracy of the results obtained by mathematical analysis.

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