In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complexity measures: correlation-based feature selection subset merit, noise, imbalance ratio, missing values and information gain. The effect of these complexity measures on classification accuracy is evaluated using five d...

The objective of this study was to reveal the usefulness image processing and machine learning for non-destructive evaluation changes in mint leaves caused by two natural drying techniques. effects shade open-air sun on ventral side (upper surface) dorsal (lower were compared. Texture parameters extracted from digital color images converted channels R, G, B, L, a, b, X, Y, Z. Models based featu...

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...

Continuous advancement in the health sector is essential to reduce costs and increase efficiency quality of service. The widespread use ultrasonography (USG) has made it possible detect thyroid nodules with higher success rates. Some standard scoring systems have been developed score nodules. Thyroid are classification that determine risk cancer according ultrasonographic characteristics nodule...

Corresponding Author: Tb Ai Munandar Department of Informatics Engineering, Faculty of Information Technology, Universitas Serang Raya, Banten, Indonesia Email: [email protected], [email protected] Abstract: Nowadays, agricultural field is experiencing problems related to climate change that result in the changing patterns in cropping season, especially for paddy and coarse grains, pulses...

Dalam dunia penerbangan, keselamatan dan kelancaran arus lalu lintas penerbangan merupakan business core, dimana setiap pelayanan diharapkan tidak terjadi delay yang disebabkan oleh terjadinya holding pergerakan pesawat baik di udara maupun darat. Oleh karena itu slot time bandara sangat penting untuk ketepatan Departure Arrival, hal ini dimaksudkan menghindari penumpukan antrian akan berangkat...

decision trees as one of the data mining techniques, is used in credit scoring of bank customers. the main problem is the construction of decision trees in that they can classify customers optimally. this paper proposes an appropriate model based on genetic algorithm for credit scoring of banks customers in order to offer credit facilities to each class. genetic algorithm can help in credit sco...

Tool condition monitoring in machining plays a crucial role in modern manufacturing systems, finding tool wear state in early with the help of monitoring system will reduce downtime and excessive power drawing while machining. It also increases machining quality as well as surface finish of machined components. Vibration analysis of mechanical systems can be used to identify the tool condition ...

In this paper, we solve the customer credit card churn prediction via data mining. We developed an ensemble system incorporating majority voting and involving Multilayer Perceptron (MLP), Logistic Regression (LR), decision trees (J48), Random Forest (RF), Radial Basis Function (RBF) network and Support Vector Machine (SVM) as the constituents. The dataset was taken from the Business Intelligenc...