The classification of imbalanced data has presented a significant challenge for most well-known algorithms that were often designed with relatively balanced class distributions. Nevertheless skewed distribution is common feature in real world problems. It especially prevalent certain application domains great need machine learning and better predictive analysis such as disease diagnosis, fraud ...

Malware attack cases continue to rise in our current day. The Trojan attack, which may be extremely destructive by unlawfully controlling other users' computers order steal their data. As a result, horse detection is essential identify the and limit attacks. In this study, we proposed system that employed machine learning algorithms detect horses within system. A public dataset of contain 2001 ...

Misfire in an IC Engine continues to be a problem leading to reduced fuel efficiency, increased power loss and emissions containing heavy concentration of hydrocarbons. Misfiring creates a unique vibration pattern attributed to a particular cylinder. Useful features can be extracted from these patterns and can be analyzed to detect misfire. Statistical features from these vibration signals were...

In the present study, the abilities of three classification methods of data mining namely artificial neural networks with feed-forward back propagation algorithm, J48 decision tree method and logistic regression analysis are compared in a medical real dataset. The prediction of malignancy in suspected thyroid tumour patients is the objective of the study. The accuracy of the correct predictions...