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Detection of Credit Card Fraud with Machine Learning Methods and
Resampling Techniques
Financial institutions in the form of banks provide facilities in the form of credit cards, but with the development of technology,
fraud on credit card transactions is still common, so a system is needed that can detect fraud transactions quickly…
fraud on credit card transactions is still common, so a system is needed that can detect fraud transactions quickly…
Investigate the Influence and Moderators of the Embarrassment on the
Continual Usage and Knowledge Sharing Intention in Virtual Communities
Embarrassment has been an important research issue in the domain of management. Previous studies indicated when embarrassment occurred
between sales and customers, it could reduce the customers' intention to visit the store again. Virtual…
between sales and customers, it could reduce the customers' intention to visit the store again. Virtual…
Ant Colony Optimization Modelling for Task Allocation in Multi-Agent
System for Multi-Target
Task allocation in multi-agent system can be defined as a problem of allocating a number of agents to the task. One of the
problems in task allocation is to optimize the allocation of heterogeneous agents when there are multiple tasks which require…
problems in task allocation is to optimize the allocation of heterogeneous agents when there are multiple tasks which require…
Implementation of Data Synchronization Mechanism in Virtual Desktop
Infrastructure
There are more and more applications and services of Cloud technology. Whether the government, enterprises or organizations,
even everyone may have requirements of constructing cloud systems. To build the virtual cloud infrastructure VMware…
even everyone may have requirements of constructing cloud systems. To build the virtual cloud infrastructure VMware…
K-Means Clustering Algorithm Approach in Clustering Data on Cocoa
Production Results in the Sumatra Region
Cocoa agricultural production in Indonesia is currently very low while demand continues to increase every year, so it is very
important to build a model that can categorize cocoa farming data. The main objective of this research is to analyze…
important to build a model that can categorize cocoa farming data. The main objective of this research is to analyze…
Fire Detection on Video Using ViBe Algorithm and LBP-TOP
In this research, we built a system to detect fire using the ViBe (Visual Background Extractor) algorithm to extract dynamic
targets. The ViBe algorithm is better at detecting moving target objects such as flame combustion. In this research we…
targets. The ViBe algorithm is better at detecting moving target objects such as flame combustion. In this research we…
Data Mining Technology Used in an Internet of Things-Based Decision
Support System for Information Processing Intelligent Manufacturing
In recent years, database technology has improved significantly, and database management systems have gained widespread
adoption. As a result, the volume of data saved across numerous databases has increased exponentially. However, the…
adoption. As a result, the volume of data saved across numerous databases has increased exponentially. However, the…
Implementation of Open-Source ERP-Based Fleet Management System on
SMEs Transportation Service Provider
Enterprises Resource Planning (ERP) systems can be analogized as the backbone of the information system in a company.
Many large-scale companies have adopted ERP systems to increase efficiency in the company's business processes. This
research…
Many large-scale companies have adopted ERP systems to increase efficiency in the company's business processes. This
research…
Application of The Naïve Bayes Classifier Algorithm to Classify
Community Complaints
Unsatisfactory public services encourage the public to submit complaints/ reports to public service providers to improve their
services. However, each complaint/ report submitted varies. Therefore, the first step of the community complaint…
services. However, each complaint/ report submitted varies. Therefore, the first step of the community complaint…
House Prices Segmentation Using Gaussian Mixture Model-Based
Clustering
House is a place for humans to live and a main necessity for humans. For years, the need for houses is increasing and varied
so that it affects the selling price of the house. Therefore, more research is needed to learn about the selling price of…
so that it affects the selling price of the house. Therefore, more research is needed to learn about the selling price of…