The Use of Data Mining Applied In the Accounts Receivable from the Employees of a Government Institution in México
Abstract
In this research we discussed the application of data mining in financial information, focusing on accounts re-ceivable of the employees of a government office, we applied visual data mining in (993) accounting records using WEKA to identify outliers by geographical region, the frequency and the amount of money missing in a period of time, and analyzed the main factors involved in this process. Our preliminary results show that the insecurity in the region is highly correlated with the amount of money missing in the government institution, overhanging the north and southeast of Mexico as the most affected.
Full Text: PDF DOI: 10.15640/jcsit.v6n1a4
Abstract
In this research we discussed the application of data mining in financial information, focusing on accounts re-ceivable of the employees of a government office, we applied visual data mining in (993) accounting records using WEKA to identify outliers by geographical region, the frequency and the amount of money missing in a period of time, and analyzed the main factors involved in this process. Our preliminary results show that the insecurity in the region is highly correlated with the amount of money missing in the government institution, overhanging the north and southeast of Mexico as the most affected.
Full Text: PDF DOI: 10.15640/jcsit.v6n1a4
Browse Journals
Journal Policies
Information
Useful Links
- Call for Papers
- Submit Your Paper
- Publish in Your Native Language
- Subscribe the Journal
- Frequently Asked Questions
- Contact the Executive Editor
- Recommend this Journal to Librarian
- View the Current Issue
- View the Previous Issues
- Recommend this Journal to Friends
- Recommend a Special Issue
- Comment on the Journal
- Publish the Conference Proceedings
Latest Activities
Resources
Visiting Status
Today | 238 |
Yesterday | 122 |
This Month | 3849 |
Last Month | 6586 |
All Days | 1470562 |
Online | 37 |