A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Based on this, this study constructed an evaluation index system for the mining capacity of the mines from the perspectives of geological factors, mechanical equipment, humans, and mining design.

The SOM algorithm, which incorporated both qualitative and quantitative data, produced the best model, resulting in the identification of three distinct domains. These findings underscore the ...

Educational Data Mining (EDM) is the application of data mining methods in the educational domain. In the EDM field, we see mixed data (i.e., text and number data types). Grouping or clustering such ...

Data mining is like digging for gold. You’ve likely heard the term “data mining” before, but have you wondered what it means, exactly? Data mining is like finding hidden treasures in a sea of data. It ...

Discover how clustering algorithms in data mining can be the key to innovating your career and staying ahead in your field.

Among these methods, clustering algorithm is a technology that can effectively achieve data mining. Deeply exploring and analyzing the characteristics of load data can effectively supports load ...

The aim of this project is to aggregate, polish, and standardise the existing clustering benchmark batteries referred to across the machine learning and data mining literature, and to introduce new ...