All public and private universities perform new student admission each year, with the number of applicants reaching thousands. Prospective students who intend to continue meet higher education criteria must re-register according university’s timetable after enrolling through their selected pathway being pronounced passed. Due movement prospective different departments or universities, applicati...

HIGHLIGHTS The aim of this study is to build a diabetes mellitus disease prediction model using machine learning algorithms. To for early prediction, the optimized gaussian naive bayes algorithm proposed and used as classifier.

<p>Masalah infertilitas antara pasangan suami istri menjadi masalah penting yang dapat mengganggu keharmonisan rumah tangga. Faktor terbesar penyebab bagi pria adalah kualitas sperma. Penelitian ini bertujuan merancang aplikasi untuk memprediksi sperma dengan menerapkan algoritma <em>Naive Bayes</em> berbasis Web,. Metode <em>Naïve digunakan dalam resiko seseorang mengal...

The number of sufferers Sexually Transmitted Diseases (STD) in Indonesia is starting to increase. One example the case city Malang, 2014 as many 466 people suffer from HIV and 14 syphilis. According Malang health report, average patient 25 49 years old. Some are asymptomatic, where does not feel any symptoms even detected until a medical examination carried out. In detecting this PMS can use in...

Text Document classification aims in associating one or more predefined categories based on the likelihood suggested by the training set of labeled documents. Many machine learning algorithms play a vital role in training the system with predefined categories among which Naïve Bayes has some intriguing facts that it is simple, easy to implement and draws better accuracy in large datasets in spi...

In this report, I presented my results to the tasks of 2008 UC San Diego Data Mining Contest. This contest consists of two classification tasks based on data from scientific experiment. The first task is a binary classification task which is to maximize accuracy of classification on an evenly-distributed test data set, given a fully labeled imbalanced training data set. The second task is also ...