scholarly journals Research on E-Commerce Transaction Payment System Basedf on C4.5 Decision Tree Data Mining Algorithm

2020 ◽  
Vol 35 (2) ◽  
pp. 113-121
Author(s):  
Bing Xu ◽  
Darong Huang ◽  
Bo Mi
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Payment System ◽  
Data Mining Algorithm ◽  
Mining Algorithm ◽  
C4.5 Decision Tree ◽  
Tree Data

scholarly journals Analysis of sales levels of pharmaceutical products by using data mining algorithm C45

2021 ◽  
Vol 22 (1) ◽  
pp. 476
Author(s):  
Rini Sovia ◽  
Abulwafa Muhammad ◽  
Syafri Arlis ◽  
Guslendra Guslendra ◽  
Sarjon Defit
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Data Processing ◽  
Medicinal Product ◽  
Pharmaceutical Products ◽  
Data Mining Algorithm ◽  
Sales Data ◽  
Great Demand ◽  
Mining Algorithm ◽  
Using Data

<p>This research was conducted to analyze the level of sales of pharmaceutical products at a Pharmacy. This is done to find out the types of products that have high and low sales levels. This study uses the C45 Data Mining Algorithm concept that will produce a conclusion on the prediction of sales of pharmaceutical products through data processing obtained from sales transactions at pharmacies. This C45 algorithm will form a decision tree that provides users with knowledge about products that are in great demand by consumers based on sales data and predetermined variables. The final result of the C45 algorithm produces a number of rules that can identify the inheritance of a type of medicinal product. C45 algorithm is able to produce 20 types of categories that will be labeled goals based on the number of pharmaceutical products, since it can be concluded that C45 successfully defines 55% of the existing objective categories.</p>

scholarly journals Decision Tree: A Predictive Modeling Tool Used in Cloud Trust Prediction

2019 ◽  
Vol 8 (6) ◽  
pp. 4779-4783
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Predictive Modeling ◽  
Cloud Provider ◽  
Data Mining Algorithm ◽  
Trust Value ◽  
The Public ◽  
Mining Algorithm ◽  
Current Scenario ◽  
Reliable Basis

Trust is one of the important challenges faced by the cloud industry. Ever increasing data theft cases are contributing in worsening this issue. Regarding trust, author has a perception that this challenge can be handled to some extend if consumer can evaluate “Trust Value “ of the provider or can predict the same on some reliable basis. Current research is using predictive modeling for predicting trustworthiness of cloud provider. This paper is an attempt to utilize the data mining algorithm for predictive modeling. Decision Tree, a supervised data mining algorithm has been used in the current work for making predictions. Certification attainment criteria as prime basis for trust evaluation. In current scenario, data mining algorithm will classify providers in category of low, medium and high category of trust on the basis of information displayed on the public domain

scholarly journals Penerapan Decision Tree Data Mining Pada Produksi Kelapa Sawit PT Hindoli Di Sungai Lilin Kabupaten Musi Banyuasin

2020 ◽  
Vol 1 (2) ◽  
pp. 84-99
Author(s):  
Atika Kurnia ◽  
Ahmad Haidar Mirza ◽  
Andri Andri
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Palm Oil ◽  
Oil Palm ◽  
Production Data ◽  
Data Mining Algorithm ◽  
Oil Processing ◽  
Tree Data ◽  
Decision Tree Method ◽  
High Quality Seed

Data mining is an interesting pattern extraction of large amounts of data. PT Hindoli itself has a decision support information system that applies the c4.5 data mining algorithm. Given the large amount of data available, data mining estimates that palm oil production for a month is from production data. As one of the companies engaged in processing palm oil and producing palm oil, palm oil, and high-quality seed oil, which are grown by farmers into materials that can be sold and will be distributed to production data. The method used is the decision tree method to explore data, find hidden relationships between a number of prospective variables, among others, the number of producing oil palm based on the year, production, competition, and price, resulting in data accumulation or data grouping every month. Input with the target variable is expected to help PT Hindoli in monitoring palm oil processing.

scholarly journals Data mining algorithm for development of a predictive model for mitigating loan risk in Nigerian banks

2021 ◽  
Vol 25 (9) ◽  
pp. 1613-1616
Author(s):  
O.B. Alaba ◽  
E.O. Taiwo ◽  
O.A. Abass
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Predictive Model ◽  
Risk Model ◽  
Data Mining Algorithm ◽  
Tree Model ◽  
Mining Algorithm ◽  
Loan Risk ◽  
Structured Questionnaire ◽  
J48 Decision Tree

The focus of this paper is on the development of data mining algorithm for developing of predictive loan risk model for Nigerian banks. The model classifies and predicts the risk involved in granting loans to customers as either good or bad loan by collecting data based on J48 decision tree, BayesNet and Naïve Bayes algorithms for a period of ten (10) years (2010 2019) from using structured questionnaire. The formulation and simulation of the predictive model were carried out using Waikato Environment for Knowledge Analysis (WEKA) software. The performance of the three algorithms for predicting loan risk was done based on accuracy and error rate metrics. The study revealed that J48 decision tree model is the most efficient of all the three models.

scholarly journals Predicting the Individuals’ job satisfaction and determining the factors affecting it using the CHAID Decision Tree Data Mining Algorithm Case Study: the National Opinion Research Center of the United States

2019 ◽  
Vol 4 (3) ◽  
pp. 6-9 ◽  
Author(s):  
Farhad Sheybani
Keyword(s):  
United States ◽  
Data Mining ◽  
Job Satisfaction ◽  
Decision Tree ◽  
The United States ◽  
Research Center ◽  
Data Mining Algorithm ◽  
Factors Affecting ◽  
National Opinion Research ◽  
Tree Data

As the general attitude of the individual about what he does, job satisfaction is the result of individual perceptions from the workplace and the factors and conditions in it; it is also influenced by his personality traits. Meanwhile, investigating job satisfaction is of great importance in advanced societies. The present study aimed to assess job satisfaction in the United States and evaluate the hypothesis of the existence of job dissatisfaction and the factors affecting it in the studied sample. The various social data, related to job satisfaction and collected by the National Opinion Research Center of the United States, are used in this study. The sample consists of different people including male and female samples from nine different states in the United States. For the purpose of this study, the patterns of data were discovered, and factors affecting job satisfaction were identified using the CHAID decision tree data mining method. Finally, it was found that a small percentage of people are dissatisfied with their job.

scholarly journals Penerapan Decision Tree Menggunakan Algoritma C4.5 Untuk Deteksi Demam Berdarah Pada RS. IMC Bintaro

2019 ◽  
Vol 5 (1) ◽  
pp. 75-86
Author(s):  
Farid Fadli ◽  
Belsana Butar Butar
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Data Processing ◽  
Death Rates ◽  
A Value ◽  
C4.5 Algorithm ◽  
C4.5 Decision Tree ◽  
Tree Data ◽  
Classification Category ◽  
Tree Method

Abstract: According to the WHO report in 2004, Indonesia is the largest country with the highest number of sufferers and death rates due to dengue fever. If it is not handled properly, the postponed treatment can be fatal. In this study, the authors used the kepuutsan tree method with C4.5 algorithm to process patient data to predict whether patients experienced bloody help regarding existing indications with the help of Rapidminer software. The results of data processing using Rapidminer were evaluated and validated with a confussion matrix and AUC curve, the results of data processing using the C4.5 algorithm had an accuracy of 72% and AUC had a value of 0.758 with a fair classification category. Keywords: Algorithm C4.5, Decision Tree, Data Mining

Sign in / Sign up

Export Citation Format

Share Document