International Conference on Big Data Analytics and Machine Learning Frameworks

ICBDAMLF

17th Jun – 18th Jun 2027 Yekaterinburg, Russia

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 ICBDAMLF

Date 17th Jun – 18th Jun 2027

Location Yekaterinburg, Russia

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 Advancements in Big Data Analytics +

This track focuses on the latest methodologies and technologies in big data analytics. Researchers are invited to present innovative approaches that enhance data processing and interpretation.

SDG 9 SDG 12

02 Machine Learning Frameworks and Applications +

This session explores various machine learning frameworks and their practical applications across different industries. Contributions that demonstrate the effectiveness of these frameworks in solving real-world problems are encouraged.

SDG 8 SDG 9

03 Cloud Computing for Big Data Solutions +

This track examines the role of cloud computing in facilitating big data analytics. Papers should address scalability, performance, and security challenges associated with cloud-based data processing.

SDG 9 SDG 11

04 AI Algorithms for Predictive Analytics +

This session delves into artificial intelligence algorithms specifically designed for predictive analytics. Submissions should highlight novel techniques that improve prediction accuracy and efficiency.

SDG 8 SDG 9

05 Data Integration Techniques in IT Systems +

This track focuses on innovative data integration techniques that enhance the interoperability of IT systems. Researchers are encouraged to present solutions that address data silos and improve data accessibility.

SDG 9 SDG 16

06 Scalable Computing for Big Data Challenges +

This session addresses the challenges of scalable computing in the context of big data. Contributions should explore architectures and algorithms that enable efficient processing of large datasets.

SDG 9 SDG 12

07 System Optimization in Machine Learning +

This track investigates optimization techniques that enhance the performance of machine learning systems. Papers should present novel strategies for improving model training and inference times.

SDG 9 SDG 12

08 Automation in Data Analytics +

This session focuses on the automation of data analytics processes through advanced technologies. Submissions should explore how automation can improve efficiency and reduce human intervention in analytics workflows.

SDG 9 SDG 12

09 Business Intelligence and Data Modeling +

This track examines the intersection of business intelligence and data modeling. Researchers are invited to present frameworks that facilitate better decision-making through effective data representation.

SDG 8 SDG 9

10 Intelligent Systems for Data-Driven Insights +

This session explores the development of intelligent systems that leverage big data for actionable insights. Contributions should highlight the integration of machine learning and data analytics in creating smart solutions.

SDG 9 SDG 12

11 Innovations in IT Infrastructure for Big Data +

This track focuses on the innovations in IT infrastructure that support big data analytics and machine learning frameworks. Papers should discuss advancements in hardware, software, and network technologies that enhance data processing capabilities.

SDG 9 SDG 11