scholarly journals An optimal automated disease detection and classification of crop species using hybrid machine learning techniques

2020 ◽  
Vol 11 (5) ◽  
pp. 694-707
Author(s):  
Shravankumar Arjunagi ◽  
Nagaraj B Patil Dr
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Disease Detection ◽  
Crop Species ◽  
Learning Techniques ◽  
Hybrid Machine

scholarly journals Visual Social Data Clustersfor Effective Topics Tendnecy with Hybrid Machine Learning Techniques

2020 ◽  
Vol 8 (5) ◽  
pp. 4100-4104
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Social Data ◽  
Learning Techniques ◽  
Social Classification ◽  
Data Clusters ◽  
Hybrid Machine

The machine learning is an emerging field in social classification of data, which enable the learning of social data patterns and classify the data by unsupervised approaches. Majorly, k-means and graph-based machine learning algorithms are used for discovering of social data clusters based on similarity features of user views, opinions. This paper presents the sentimental analysis of social users for the topics using the cluster tendency of derived clusters. The experimental of social data clusters and the cluster tendency are visualized for effective sentiment of topics analysis.

A Brief Survey on Text Classification Using Various Machine Learning Techniques

2018 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Padmavathi .S ◽  
M. Chidambaram
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Fixed Number ◽  
Machine Learning Techniques ◽  
Online Information ◽  
Rule Based ◽  
Learning Techniques ◽  
Machine Learning Approach ◽  
Rule Based Approach

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.

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