Data mining tools collect and analyze data much faster than humans. Learn what data mining is, how it works, and how to use it effectively.

Follow the fascinating journey of copper as it goes from raw rock deep underground to a purified metal ready for industrial use. This journey breaks down each essential step of the process from ...

For the present study a workflow is used based on the proposed damage identification method (Gordan et al. 2017) through data mining steps along with prediction and optimization-based algorithms, as ...

Data mining algorithms are essential for uncovering patterns and insights from large datasets. However, like any automated process, they can benefit significantly from human feedback.

Process mining has helped the state address decades-old problems that many government agencies are familiar with, including outdated approaches with data scattered across various systems, emails ...

Input data is data added to an artificial intelligence (AI) to explain a problem, situation, or request. Input data may be cleaned, labeled, and organized, or it may be raw data.

Abstract: Contrary to event traces considered in traditional process mining literature, this paper addresses the problem of optimal process mining of traces of events and attributes associated with ...

But this forms part of a broader strategic story, where Celonis aims to put process mining execution management into the hands of more individuals. The aim being, of course, that process mining will ...

Engineering teams still need traditional techniques to build supporting infrastructure, but a new class of programmers is using data as the primary input to build Business Process Automation (BPA).