The increasing ratio of diabetes is found risky across the planet. Therefore, the diagnosis is important in population with extreme risk of diabetes. In this study, a decision-making classifier (J48) ...
Abstract: Extraction of relevant Information from data Is a challenging task. Many times an analyst may end up with an erroneous classifier because of huge, redundant, unreliable and noisy data. It ...
Abstract: Data mining is the process of extracting the useful information from the large existing datasets. Data Mining allows users to analyze data from various dimension, categorize the data, and ...
1 Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA. 2 Department of Biomedical Technology, Czech Technical University in Prague, Prague, Czech Republic. 3 ...
ABSTRACT: The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which ...
Aim of the Project: The project is to perform a supervised data mining i.e. classification on a data set using two algorithms. The algorithms which I chose are: Random Forest (Weka) Decision Tree (J48 ...
This project implements an end-to-end sentiment analysis pipeline for e-commerce customer reviews. The system scrapes product reviews from Jumia Nigeria, processes the text data, and uses machine ...
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