Comparative analysis of tree classification models for detecting fusarium oxysporum f. sp cubense (TR4) based on multi soil sensor parameters

Author(s):  
Maria Regina Justina E. Estuar ◽  
John Noel Victorino ◽  
Andrei Coronel ◽  
Jerelyn Co ◽  
Francis Tiausas ◽  
...  
2020 ◽  
Vol 1 (2) ◽  
pp. 58-66
Author(s):  
Ibrar Hussain ◽  
Muhammad Asif

Mobile payment systems are providing an opportunity for smartphone users for transferring money to each other with ease. This simple way of transferring through mobile payment systems has great potential for economic activity. However, fraudulent transactions may occur and can have a substantial impact on the economy of a country. Financial fraud and anomalous transactions can cause a loss of billions of dollars annually. Therefore, there is a need to detect anomalous transactions through mobile payment systems to prevent financial fraud. For this research study, a synthetic dataset is generated by using a PAYSIM simulator due to the lack of availability of a realistic dataset. This research study performed experiments on a financial transactional dataset using eight data mining classification algorithms. The performance of classification models was measured by using evaluation metrics: accuracy, precision, F-score, recall, and specificity. A comparative analysis of classification models was also performed based on their performance.


PLoS ONE ◽  
2019 ◽  
Vol 14 (9) ◽  
pp. e0222727 ◽  
Author(s):  
Freddy Magdama ◽  
Lorena Monserrate-Maggi ◽  
Lizette Serrano ◽  
Daynet Sosa ◽  
David M. Geiser ◽  
...  

2009 ◽  
Author(s):  
Jian Tian ◽  
Yueming Hu ◽  
Jianmin Liu ◽  
Yanling Zhao ◽  
Changwei Wang

2003 ◽  
Vol 45 (0) ◽  
pp. 75-78
Author(s):  
Teruo Nonomura ◽  
Tomoya Hasegawa ◽  
Kazutomo Miyajima ◽  
Yoshinori Matsuda ◽  
Kazuhiko Maeda ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document