Data Mining Application on Complex Dataset from the Off-Grid Systems

2015 ◽  
pp. 63-75
Author(s):  
Tomas Vantuch ◽  
Jindrich Stuchly ◽  
Stanislav Misak ◽  
Tomas Burianek
Keyword(s):  
Data Mining ◽  
Grid Systems ◽  
Complex Dataset ◽  
Data Mining Application

Penerapan Metode Klasifikasi Decision Tree dan Algoritma C4.5 dalam Memprediksi Kriteria Nasabah Kredit Mega Auto Finance

2020 ◽  
Vol 7 (2) ◽  
pp. 200
Author(s):  
Puji Santoso ◽  
Rudy Setiawan
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Microsoft Excel ◽  
Customer Data ◽  
Data Mining Techniques ◽  
C4.5 Algorithm ◽  
Marketing Costs ◽  
Excel Format ◽  
Data Mining Application

One of the tasks in the field of marketing finance is to analyze customer data to find out which customers have the potential to do credit again. The method used to analyze customer data is by classifying all customers who have completed their credit installments into marketing targets, so this method causes high operational marketing costs. Therefore this research was conducted to help solve the above problems by designing a data mining application that serves to predict the criteria of credit customers with the potential to lend (credit) to Mega Auto Finance. The Mega Auto finance Fund Section located in Kotim Regency is a place chosen by researchers as a case study, assuming the Mega Auto finance Fund Section has experienced the same problems as described above. Data mining techniques that are applied to the application built is a classification while the classification method used is the Decision Tree (decision tree). While the algorithm used as a decision tree forming algorithm is the C4.5 Algorithm. The data processed in this study is the installment data of Mega Auto finance loan customers in July 2018 in Microsoft Excel format. The results of this study are an application that can facilitate the Mega Auto finance Funds Section in obtaining credit marketing targets in the future

scholarly journals Data Mining Application in Classification Scheme of Human Subjects According to Ayurvedic Prakruti – Temperament

2016 ◽  
Vol 9 (13) ◽  
Author(s):  
Murtaza M. Junaid Farooque ◽  
Mohammed Aref ◽  
Mohammed Imran Khan ◽  
Shareque Mohammed
Keyword(s):  
Data Mining ◽  
Classification Scheme ◽  
Human Subjects ◽  
Data Mining Application

scholarly journals Educational Data Mining Application for Estimating Students Performance in Weka Environment

2017 ◽  
Vol 263 ◽  
pp. 032002 ◽  
Author(s):  
G.Shiyamala Gowri ◽  
Ramasamy Thulasiram ◽  
Mahindra Amit Baburao
Keyword(s):  
Data Mining ◽  
Educational Data Mining ◽  
Data Mining Application
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