Prediction models for Polycystic Ovary Syndrome using data mining

C Neto, M Silva, M Fernandes, D Ferreira… - … on Advances in Digital …, 2021 - Springer
Abstract Polycystic Ovary Syndrome is an endocrine abnormality that occurs in the female
reproductive system and is considered a heterogeneous disorder because of the different …

A filter based feature set selection approach for big data classification of patient records

DF Vinod, V Vasudevan - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
The flourishing fame and development of big data in recent years made researchers to have
a detailed study. Of the all entire emerging big data research topics, classification of data …

Multidimensional Context Clustering to Analyse Student Engagement in Online Learning Environment

CK Ting, N Ibrahim, SH Huspi… - International Journal of …, 2024 - ijic.utm.my
Educational data mining is the application of data mining technology in an educational
environment to indicate and resolve various types of issues faced in education. COVID-19 …

[PDF][PDF] User Sessions Clustering and Anomaly Detection

BCM MOKROŠ - is.muni.cz
User behavior recordings help companies better understand how users interact with their
products. As the number of customers increases, it is a complex task for employees to …