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What is mDetect?

Mining operations require in-depth intelligence and analysis during both the exploration and operational phases. In the initial exploration stage, a comprehensive evaluation of mineral deposits is critical, which involves methods such as borehole drilling and meticulous sample testing to determine the characteristics and volume of available resources. Once in the operational phase, our cutting-edge technology platform plays a vital role in monitoring changes within subsurface formations and identifying the emergence of air gaps. This functionality enables mining companies to take preemptive measures against these variations, helping to reduce the risks linked to potential tunnel collapses. Additionally, the mDetect technology platform assists mining organizations in understanding how newly formed underground structures and channels could affect the stability of existing subterranean systems, promoting safer and more efficient mining practices. By harnessing these technological innovations, the mining sector stands to significantly improve its safety measures and operational effectiveness, ultimately leading to more sustainable practices in resource extraction. The integration of such technologies not only enhances safety but also supports long-term resource management strategies.

What is RapidProM?

Contemporary Information Systems (ISs) gather extensive data related to the business operations they support. This data acts as a crucial basis for process mining, allowing organizations to examine their operational workflows through concrete evidence instead of mere conjectures. For example, one might investigate the progression of a loan application in a banking institution or assess the procedures for patient care within a healthcare facility. Currently, there is an increasing fascination with process mining across both corporate and academic realms. As a result, the number of available process mining tools continues to expand. However, many of these tools fall short in providing the ability to create and implement comprehensive analysis workflows that leverage multiple process mining algorithms. This shortcoming compels analysts to repetitively perform process mining tasks manually, rendering scientific exploration in this domain quite labor-intensive. To overcome this issue, we have successfully integrated RapidMiner, a platform that facilitates the design and execution of analysis workflows, with the ProM 6 process mining framework. This integration not only boosts efficiency and effectiveness in process mining activities but also aspires to significantly enhance the productivity of analysts working in this field. As the demand for streamlined processes grows, the combination of these powerful tools could set a new standard in the realm of data analysis.

Media

Media

Integrations Supported

Rapidminer

Integrations Supported

Rapidminer

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

mDetect

Company Location

Australia

Company Website

mdetect.com.au/mining/

Company Facts

Organization Name

ProM

Date Founded

2010

Company Location

Netherlands

Company Website

www.promtools.org/doku.php

Categories and Features

Mining

3D Modeling
Cross Section Creation
Data Exchange
Data Storage
Exception Notification
Fence Diagrams
Log Map Creation
People Tracking
Pit Optimization Reporting
Risk Management
Volumetrics

Categories and Features

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