Text analytics for big data using rough–fuzzy soft computing ...

This paper introduces big data and data mining techniques to analyse large volumes of information while mining texts, emails, blogs, online forums, news, and ...

Request PDF | Text analytics for big data using rough–fuzzy soft computing techniques | Text mining or analytics is important for various applications such ...

Text analytics for big data using rough–fuzzy soft computing ... - OUCI

Bogawar P. S.(2016).Soft computing approaches to classification of emails for sentiment analysis. Proceedings of the International Conference on Informatics and ...

TEXT ANALYTICS FOR BIG DATA USING ROUGH-FUZZY SOFT ...

Mohammed Al-Ma'aitah · TEXT ANALYTICS FOR BIG DATA USING ROUGH-FUZZY SOFT COMPUTING TECHNIQUES ...

Use of Fuzzy Logic in Text Analytics: An Overview | LatentView

Normalization of datasets using fuzzy logic algorithms can solve multiple real-world problems businesses face in data cleansing. Also, this ...

Rough and Fuzzy Sets for Data Mining of a Controlled Vocabulary ...

We present an approach to text retrieval, incorporating data mining of a controlled i.e., vocabulary mining, in order to improve retrieval Performance.

A Novel Data Mining Approach for Big Data Based on Rough Sets ...

Rough sets theory, fuzzy sets theory, data analysis, data mining, and machine learning are the most famous names of these fields which use granular computing ...

Text Analytics - an overview | ScienceDirect Topics

Text analytics is the process of converting large volumes of unstructured text into structured quantitative data to provide a search facility for exploring ...

Text Mining using Fuzzy Association Rules | SpringerLink

The purpose of the use of text mining technologies presented in this paper is to assist users to find relevant information. The system helps the user to ...

Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data ...

This book provides various individual, soft computing, optimization and hybridization techniques of fuzzy and intuitionistic fuzzy sets with rough sets and ...

Computing fuzzy rough approximations in large scale information ...

This is clearly insufficient to scale fuzzy rough set analysis to massive datasets. In this paper we present a parallel and distributed solution based on ...

(PDF) Big Data Analytics using Soft Computing Techniques : A Study

Soft computing is an hybrid technique having Fuzzy logic, Neural Networks, Genetic Algorithms, Machine learning, Support Vector Machines (SVM), ...

An overview on the roles of fuzzy set techniques in big data processing

To achieve these activities, several categories of distinct techniques have been considered, including mathematical tools, data analysis.

Big data analytics by automated generation of fuzzy rules for ...

We believe that it can be mitigated by means of Neuro-Fuzzy, a fusion of human-understandable model and automated data analytic. This method includes optimal ...

Text Mining in Big Data Analytics - MDPI

Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new ...

Uncertainty in big data analytics: survey, opportunities, and challenges

3. Uncertainty can impact ML in terms of incomplete or imprecise training samples, unclear classification boundaries, and rough knowledge of the ...

Fuzzy Rough Granular Neural Networks for Pattern Analysis

The granular neural networks are designed by integrating fuzzy sets and fuzzy rough sets with artificial neural networks in a soft computing paradigm. The fuzzy ...

Applications of rough sets in big data analysis: An overview

The tool integrates several algorithms based on classical RSs and the fuzzy-rough approach. (FRST) in a single software library. ... Fuzzy computing for data.

Fuzzy rough data reduction in large datasets with building ...

Fuzzy rough data reduction software (FRDRS) is designed to facilitate make reduction of high dimensional data. It is a toolkit for analysing ...

Text document classification using fuzzy rough set based on robust ...

The fuzzy rough set based on robust nearest neighbor (FRS-RNN) is one of the vital classifiers which has been successfully applied to handle real-valued ...