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...

We give characterizations for the parabolicity of regular trees.

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...

25 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract— Classification is the process of arranging a number of items into groups in such a manner that the members of the group have one or more characteristics in common. In this research paper, we present a comparative study of five different classification algorithms using WEKA, a data mining tool. This ar...

Dengue is a eviscerate disease common in tropical countries. It is also known as break-bone fever. Dataset for dengue gives information about the patient suffering with the dengue disease. The Dataset consist of attribute like fever, bleeding, metallic taste, Fatigue. The main objective of this study is to calculate the performance of various classification Techniques and compare their performa...

In Colombia, all undergraduate students, regardless of the professional training program they take, must complete general competencies sections Saber Pro exam that include Critical Reading, Quantitative Reasoning, Citizen Competencies, Written Communication, and English. This paper presents application classification technique based on decision trees in prediction performance Reading section pr...

The coronavirus disease, namely Covid-19 infection, which was declared a worldwide epidemic by the World Health Organization (WHO) in 2020, first seen Wuhan, China last months of 2019 and has affected whole world. Early diagnosis this rapidly spreading is important to prevent disease. For reason, methods such as image processing, deep learning, machine learning have become detect early. In stud...

Garment industrial sector is one of the most important business sectors in world. It presents lifeblood for many countries’ economy. The demanding garment merchandise accretion year over year. There are key factors affecting performance this including employee productivity. This research proposes a hybrid approach which aims to predict productivity employees by combining different classificatio...

Most decision-tree induction algorithms are using a local greedy strategy, where a leaf is always split on the best attribute according to a given attribute selection criterion. A more accurate model could possibly be found by looking ahead for alternative subtrees. However, some researchers argue that the look-ahead should not be used due to a negative effect (called ―decision tree pathology‖)...

PURPOSE Classification trees are increasingly being used to classifying patients according to the presence or absence of a disease or health outcome. A limitation of classification trees is their limited predictive accuracy. In the data-mining and machine learning literature, boosting has been developed to improve classification. Boosting with classification trees iteratively grows classificati...