ABSTRACT The ranking of seed lots is a fundamental process for all companies in the industry. This work aims to demonstrate data mining methods sorghum during processing through analysis quality control data. Germination and cold tests were performed verify physiological lots. Seed samples from each lot evaluated two moments: post-cleaning finished product (ready marketing). results after pre-p...

Network traffic recognition serves as a basic condition for network operators to differentiate and prioritize number of purposes, from guaranteeing the Quality Service (QoS), monitoring safety, well detecting anomalies. Web Real-Time Communication (WebRTC) is an open-source project that enables real-time audio, video, text communication among browsers. Since WebRTC does not include any characte...

This paper presents an effective implementation of data preprocessing methodology and data mining referring to integrate decision rules as part of manually written expert system (expert knowledge) with models inducted from data. The methods we have used are standard methods for data pre-processing, including techniques for handling missing data, feature construction, transformation and aggregat...

Abstract Introduction: Myocardial Infarction, also known as heart attack, normally occurs due to such causes as smoking, family history, diabetes, and so on. It is recognized as one of the leading causes of death in the world. Therefore, the present study aimed to evaluate the performance of classification models in order to predict Myocardial Infarction, using a feature selection method tha...

This work demonstrates the application of an electronic nose (e-nose) for discrimination between authentic and adulterated honey. The developed e-nose is based on electrodes covered with ionogel (ionic liquid + gelatin Fe3O4 nanoparticle) films. Authentic honey samples were submitted to analysis, capacity sensors was evaluated using principal component analysis (PCA) average relative response d...

This paper analyzes how to introduce machine learning algorithms into the process of direct volume rendering. A conceptual framework for the optical property function elicitation process is proposed and particularized for the use of attribute-value classifiers. The process is evaluated in terms of accuracy and speed using four different off-theshelf classifiers (J48, Nave Bayes, Simple Logistic...