International Conference on Data Mining for Engineering Process Optimization

ICDMPOE

17th Jun – 18th Jun 2027 Stavanger, Norway

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

Select Registration Mode

Standard / Physical Participation USD

Join us on-site for keynotes, talks, workshops, networking, conference kit and certificate.

Virtual Participation USD

Participate online via live streaming. Includes live access to all sessions, digital materials and certificate.

Participant Details

Full Name *

Email Address *

Mobile Number with Country Code *

City *

State *

Country *

Zip / Postal Code *

Address *

Coupon Code

Terms & Condition

I agree to the Terms & Conditions and Refund & Cancellation Policy.

Read the full Terms & Conditions

Registration Summary

Conference ICDMPOE

Date 17th Jun – 18th Jun 2027

Location Stavanger, Norway

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

100% Secure Payment

Your payment information is encrypted and processed securely.

Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advanced Data Mining Techniques in Engineering +

This track focuses on the latest advancements in data mining methodologies applicable to engineering processes. Participants will explore innovative algorithms and their effectiveness in enhancing engineering outcomes.

SDG 9 SDG 12

02 Predictive Modeling for Process Optimization +

This session addresses the role of predictive modeling in optimizing engineering processes. Attendees will discuss case studies demonstrating the impact of predictive analytics on operational efficiency.

SDG 8

03 Workflow Analysis and Improvement Strategies +

This track emphasizes the importance of workflow analysis in engineering environments. Presentations will highlight techniques for identifying bottlenecks and improving overall process efficiency.

SDG 9 SDG 12

04 Machine Learning Applications in Industrial Analytics +

This session delves into the application of machine learning techniques in industrial settings. Participants will examine how these technologies can drive performance improvements and decision-making.

SDG 9 SDG 12

05 Decision Support Systems for Engineering Performance +

This track explores the development and implementation of decision support systems tailored for engineering challenges. Discussions will focus on enhancing decision-making processes through data-driven insights.

SDG 9 SDG 12

06 Operational Efficiency through Data-Driven Insights +

This session investigates how data mining can lead to significant improvements in operational efficiency within engineering processes. Case studies will illustrate successful implementations and measurable outcomes.

SDG 8 SDG 9

07 Performance Metrics in Process Engineering +

This track examines the critical performance metrics used to evaluate engineering processes. Participants will discuss methodologies for measuring and improving these metrics through data mining.

SDG 9 SDG 12

08 Industrial Analytics: Trends and Future Directions +

This session provides an overview of current trends in industrial analytics and their implications for engineering processes. Experts will share insights on future directions and emerging technologies in this field.

SDG 9 SDG 12

09 Integrating Data Mining with Engineering Design +

This track focuses on the integration of data mining techniques into the engineering design process. Participants will explore how data-driven approaches can enhance design efficiency and innovation.

SDG 9 SDG 12

10 Real-time Data Mining for Process Control +

This session highlights the application of real-time data mining techniques in process control environments. Discussions will center on the benefits of immediate data analysis for operational decision-making.

SDG 9 SDG 12

11 Case Studies in Data Mining for Engineering Optimization +

This track presents a series of case studies showcasing successful applications of data mining in engineering optimization. Participants will gain insights into practical implementations and the resulting benefits.

SDG 9 SDG 12