scholarly journals Fake News Detection using Data Mining Techniques

2021 ◽  
Vol 3 (4) ◽  
pp. 263-273
Author(s):  
S. Sunil Kumar Aithal ◽  
Krishna Prasad Roa ◽  
R. P. Puneeth
Keyword(s):  
Data Mining ◽  
Information Source ◽  
Semantic Search ◽  
Fake News ◽  
Data Mining Techniques ◽  
The People ◽  
Main Challenge ◽  
Using Data ◽  
The Web

Nowadays, internet has been well known as an information source where the information might be real or fake. Fake news over the web exist since several years. The main challenge is to detect the truthfulness of the news. The motive behind writing and publishing the fake news is to mislead the people. It causes damage to an agency, entity or person. This paper aims to detect fake news using semantic search.

Application of Data Mining in e-Commerce

2014 ◽  
Vol 7 (4) ◽  
pp. 79-91 ◽  
Author(s):  
Mohamed Chajri ◽  
Mohamed Fakir
Keyword(s):  
Data Mining ◽  
Electronic Commerce ◽  
Market Share ◽  
Data Mining Techniques ◽  
Commercial Area ◽  
Using Data ◽  
Definition Of ◽  
Source Of Information ◽  
The Web

The web in recent years has been a big trend, which helped make it a source of information and essential in the various fields of research, in particular, the commercial area that represents the e-commerce (electronic commerce). However, the competition in the e-commerce sites is very tight. This has pushed companies to conserve and retain customers rather than seeking to expand its market share by conquering politically. These requirements have introduced the extraction of knowledge from data in e-commerce sites, using data mining techniques. This article will be an introduction to the concept of data mining, a definition of economic concepts related to e-commerce, and the authors' approach to the application of data mining techniques in e-commerce.

Application of Data Mining in e-Commerce

2016 ◽  
pp. 302-314
Author(s):  
Mohamed Chajri ◽  
Mohamed Fakir
Keyword(s):  
Data Mining ◽  
Electronic Commerce ◽  
Market Share ◽  
Data Mining Techniques ◽  
Commercial Area ◽  
Using Data ◽  
Definition Of ◽  
Source Of Information ◽  
The Web

The web in recent years has been a big trend, which helped make it a source of information and essential in the various fields of research, in particular, the commercial area that represents the e-commerce (electronic commerce). However, the competition in the e-commerce sites is very tight. This has pushed companies to conserve and retain customers rather than seeking to expand its market share by conquering politically. These requirements have introduced the extraction of knowledge from data in e-commerce sites, using data mining techniques. This article will be an introduction to the concept of data mining, a definition of economic concepts related to e-commerce, and the authors' approach to the application of data mining techniques in e-commerce.

Analysis of Crop Yield Prediction of Kharif & Rabi Jowar Crops Using Data Mining Techniques

2017 ◽  
Vol 7 (11) ◽  
pp. 79
Author(s):  
Sujata Mulik
Keyword(s):  
Data Mining ◽  
Crop Yield ◽  
Crop Production ◽  
Climatic Factors ◽  
Crop Productivity ◽  
Yield Prediction ◽  
Data Mining Techniques ◽  
Agriculture Sector ◽  
Using Data ◽  
Rabi Crops

Agriculture sector in India is facing rigorous problem to maximize crop productivity. More than 60 percent of the crop still depends on climatic factors like rainfall, temperature, humidity. This paper discusses the use of various Data Mining applications in agriculture sector. Data Mining is used to solve various problems in agriculture sector. It can be used it to solve yield prediction.  The problem of yield prediction is a major problem that remains to be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. In this paper we have focused on predicting crop yield productivity of kharif & Rabi Crops. 

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