This project focuses on predicting passenger satisfaction and loyalty within the airline industry using data mining techniques. The analysis is conducted using the Orange Data Mining tool, with a ...

This repository contains practical implementations of various data mining and warehousing tasks. The projects utilize machine learning models, data preprocessing techniques, and clustering algorithms ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

Existing image processing and target recognition algorithms have limitations in complex underwater environments and dynamic changes, making it difficult to ensure real-time and precision. Multiple ...

Definition: Classification involves assigning data into predefined categories based on their attributes. It is commonly used for tasks like spam detection, credit risk assessment, and medical ...

Abstract: The development of e-business industry is undoubtedly the needs of both the state and the society. With the continuous improvement of the online shopping system, consumers' consumption ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...

This study aims at investigating the applicability of abnormal electricity consumption data detection method, which is based on the entropy weight method and the isolated forest tree algorithm. The ...