scholarly journals Data Mining Application for Cyber Space Users Tendency in Blog Writing: A Case Study

2012 ◽  
Vol 47 (18) ◽  
pp. 40-46 ◽  
Author(s):  
Farhad SoleimanianGharehchopogh ◽  
Seyyed Reza Khaze
Keyword(s):  
Data Mining ◽  
Cyber Space ◽  
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

Cyber Space Security Assessment Case Study

2018 ◽  
pp. 1060-1092
Author(s):  
Hanaa. M. Said ◽  
Rania El Gohary ◽  
Mohamed Hamdy ◽  
Abdelbadeeh M. Salem
Keyword(s):  
Data Mining ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Assessment Procedure ◽  
Security Assessment ◽  
Reference Measure ◽  
Decision Tress ◽  
Cyber Space ◽  
Reference Measurements

Cyberspace is known as the digital electronic medium for the knowing range of securing in the cyberspace. Therefore the importance of inferring the reference measure in the form of assessment procedure to improve the knowledge and making the decision for the e- government services. A series of the standards build on the application of data mining methods specifically represented as decision tress model, Logistic regression, association rules model, Bayesian network for making reference measurements, to measure the extent of securing the data, and the provided services. The authors discuss various types of cyber-attacks describing how data mining helps in detection and prevention of these attacks. A comparative analysis between a set of selected frameworks is presented. Finally this chapter imparts numbers of applications for the data mining Methodologies in Cyber Security. Results applied on the site of the authority for cleaning and beautifying Cairo governorate in Egypt.

Data Mining as Support for Customer Relationship Management: A Case Study

2014 ◽  
Vol 13 (11) ◽  
pp. 5113-5120
Author(s):  
José Gonalo Dos Santos
Keyword(s):  
Data Mining ◽  
Information System ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Mining Technique ◽  
Mining Technique ◽  
Association Rules Discovery ◽  
Data Mining Application

This article describes the data mining application to CRM - Customer Relationship Management. The article starts with an introduction showing the importance of the CRM strategy for the company, after it’s introduced the theoretical about CRM, Knowledge Discovery Database and its stages, with emphasis to the mining stage and concludes with presentation of a case study and the conclusions. For the case study it was developed a prototype of an information system of a bookstore, it was implemented, beyond the conventional functions, the association rules discovery algorithm. The implementation of the data mining technique allowed to the system supply support so that the user knows better the client, becoming possible the application of the strategy of CRM.

Cyber Space Security Assessment Case Study

2015 ◽  
pp. 169-198
Author(s):  
Hanaa. M. Said ◽  
Rania El Gohary ◽  
Mohamed Hamdy ◽  
Abdelbadeeh M. Salem
Keyword(s):  
Data Mining ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Assessment Procedure ◽  
Security Assessment ◽  
Reference Measure ◽  
Decision Tress ◽  
Cyber Space ◽  
Reference Measurements

Cyberspace is known as the digital electronic medium for the knowing range of securing in the cyberspace. Therefore the importance of inferring the reference measure in the form of assessment procedure to improve the knowledge and making the decision for the e- government services. A series of the standards build on the application of data mining methods specifically represented as decision tress model, Logistic regression, association rules model, Bayesian network for making reference measurements, to measure the extent of securing the data, and the provided services. The authors discuss various types of cyber-attacks describing how data mining helps in detection and prevention of these attacks. A comparative analysis between a set of selected frameworks is presented. Finally this chapter imparts numbers of applications for the data mining Methodologies in Cyber Security. Results applied on the site of the authority for cleaning and beautifying Cairo governorate in Egypt.

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