Text Document Clustering using Hashing Deep Learning Method

Q3 Computer Science

International Journal of Advances in Soft Computing and its Applications Pub Date : 2020-04-29 DOI:10.36478/ijscomp.2019.44.52

Nahrain A. Swidan, S. Guirguis, Omar G. Abood

引用次数: 2

Abstract

Internet exploration is the use of data mining systems to discover patterns of information and relationships from internet data via data mining techniques. The aim of this study is to locate an efficient algorithm for web news mining with analysis of web news data using data clustering and classification procedures based on deep learning, as well as to evaluate the best way to use site news information algorithms compared to other technologies, and to assess the reliability of the internet news databases that are used as tools and techniques for data mining. In this study, we used an effective algorithm (H ash) that is used to collect and classify data for the best classification of Internet news with results close to 95. 66% accuracy.

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基于哈希深度学习方法的文本文档聚类

互联网探索是使用数据挖掘系统通过数据挖掘技术从互联网数据中发现信息和关系的模式。本研究的目的是通过使用基于深度学习的数据聚类和分类程序对网络新闻数据进行分析，找到一种有效的网络新闻挖掘算法，以及与其他技术相比，评估使用网站新闻信息算法的最佳方法，并评估作为数据挖掘工具和技术的互联网新闻数据库的可靠性。在本研究中，我们使用了一种有效的算法(H ash)来收集和分类数据，以获得互联网新闻的最佳分类，结果接近95。66%的准确率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Advances in Soft Computing and its Applications Computer Science-Computer Science Applications

CiteScore

3.30

自引率

0.00%

发文量

期刊介绍： The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.