Survey Paper on Recommendation System using Data Mining Techniques

2016 ◽  
Author(s):  
Sony V Hovale ◽  
◽  
Poonam G
Keyword(s):  
Data Mining ◽  
Recommendation System ◽  
Data Mining Techniques ◽  
Survey Paper ◽  
Using Data

scholarly journals Pola Beli Konsumen Menggunakan Algoritma Fp-Growth Untuk Rekomendasi Promosi Pada Aneka Jaya Motor

2021 ◽  
Vol 6 (1) ◽  
pp. 48-55
Author(s):  
Junta Zeniarja
Keyword(s):  
Data Mining ◽  
Business Strategy ◽  
Recommendation System ◽  
Transaction Data ◽  
Data Mining Techniques ◽  
Minimum Support ◽  
Spark Plug ◽  
Using Data ◽  
Product Promotion

A piece of appropriate information can create and establish a business strategy in increasing sales through technology that can affect the trade-in buying and selling goods with the data information generated can be calculated in detail and accurately. At Aneka Jaya Motor Semarang, this was triggered by the demand for competition. One solution is a product promotion target. For determining which items are feasible for promotion, the application of a promotional decision recommendation system is made using data mining techniques associated with FP-Growth algorithms, its function is to find items that are often purchased simultaneously by consumers. Data used in the form of transaction data with the total amount used 501 data. The results obtained by appearing 1 rule is if consumers buy spark plug parts then buy oil parts with minimum support of 10% and minimum confidence of 35%. The lift ratio obtained is 1 so that valid rules are generated.

scholarly journals Smart e-Commerce Recommendation System Using Data Mining Techniques

NCICCNDA ◽  
2018 ◽  
Author(s):  
Adithya Gupta ◽  
Ankitha A ◽  
Subramanya Raju ◽  
Vidya B H ◽  
Rumana Anjum
Keyword(s):  
Data Mining ◽  
Recommendation System ◽  
Data Mining Techniques ◽  
Using Data

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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