Supervised and Unsupervised learning for characterizing the industrial material defects

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
J. Raja Sekar ◽  
N. Selvakumar ◽  
P. Radha ◽  
J.V. Johnsonselva
Keyword(s):  
Unsupervised Learning ◽  
Material Defects ◽  
Supervised And Unsupervised Learning ◽  
Industrial Material

scholarly journals Feature Selection Optimization for Highlighting Opinions Using Supervised and Unsupervised Learning on Arabic Language

2021 ◽  
Vol 10 (2) ◽  
pp. 636-642
Keyword(s):  
Machine Learning ◽  
Feature Selection ◽  
Text Mining ◽  
Unsupervised Learning ◽  
Arabic Language ◽  
Machine Learning Techniques ◽  
Business Decision ◽  
Supervised And Unsupervised Learning ◽  
Proposed Model ◽  
The Impact

Text mining utilizes machine learning (ML) and natural language processing (NLP) for text implicit knowledge recognition, such knowledge serves many domains as translation, media searching, and business decision making. Opinion mining (OM) is one of the promised text mining fields, which are used for polarity discovering via text and has terminus benefits for business. ML techniques are divided into two approaches: supervised and unsupervised learning, since we herein testified an OM feature selection(FS)using four ML techniques. In this paper, we had implemented number of experiments via four machine learning techniques on the same three Arabic language corpora. This paper aims at increasing the accuracy of opinion highlighting on Arabic language, by using enhanced feature selection approaches. FS proposed model is adopted for enhancing opinion highlighting purpose. The experimental results show the outperformance of the proposed approaches in variant levels of supervisory,i.e. different techniques via distinct data domains. Multiple levels of comparison are carried out and discussed for further understanding of the impact of proposed model on several ML techniques.

Fusion of supervised and unsupervised learning for improved classification of hyperspectral images

2012 ◽  
Vol 217 ◽  
pp. 39-55 ◽  
Author(s):  
Naif Alajlan ◽  
Yakoub Bazi ◽  
Farid Melgani ◽  
Ronald R. Yager
Keyword(s):  
Unsupervised Learning ◽  
Hyperspectral Images ◽  
Supervised And Unsupervised Learning
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