This project explores the application of data mining techniques to real-world sales data to uncover patterns and insights. Using data mining tools such as WEKA, alongside Python for data preprocessing ...

Abstract: At present, the size of the data is growing rapidly. In such a situation, it is necessary to keep an eye on the speed of the data without undermining it. It is also important to note that ...

The amount of data in the world and in the people lives seems ever-increasing and there’s no end to it. The authors are overwhelmed with data. The WWW overwhelms the user with information. The Weka ...

ABSTRACT: Over the years, the amount of information about patients and medical information has grown substantially. Moreover, due to an increase of blood diseases patients, conventional diagnostic ...

ABSTRACT: This paper presents a new algorithm for solving unit commitment (UC) problems using a binary-real coded genetic algorithm based on k-means clustering technique. UC is a NP-hard nonlinear ...