International Conference on Machine Learning and Big Data Integration in IT Systems

ICMLBDIITS

17th Jun – 18th Jun 2027 Isfahan, Iran

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Registration Summary

Conference ICMLBDIITS

Date 17th Jun – 18th Jun 2027

Location Isfahan, Iran

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

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

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

01 Advancements in Machine Learning Algorithms +

This track focuses on the latest developments in machine learning algorithms, emphasizing their application in big data environments. Researchers are encouraged to present novel approaches that enhance predictive accuracy and computational efficiency.

SDG 9 SDG 12

02 Big Data Integration Techniques +

This session explores innovative techniques for integrating diverse big data sources within IT systems. Contributions should address challenges in data harmonization, quality assurance, and real-time processing.

SDG 9 SDG 11

03 Cloud Computing for Scalable Machine Learning +

This track examines the role of cloud computing in facilitating scalable machine learning applications. Papers should discuss architectures, frameworks, and case studies that demonstrate effective cloud-based solutions.

SDG 9 SDG 12

04 Intelligent Systems and Automation +

This session highlights the intersection of intelligent systems and automation technologies. Submissions should explore how machine learning enhances automation processes across various industries.

SDG 8 SDG 9

05 Performance Monitoring in IT Systems +

This track addresses methodologies for performance monitoring and optimization in IT systems utilizing big data analytics. Contributions should focus on real-time monitoring frameworks and their impact on system reliability.

SDG 9 SDG 12

06 AI Algorithms for Business Intelligence +

This session delves into the application of AI algorithms in enhancing business intelligence capabilities. Researchers are invited to present studies that showcase the integration of machine learning in decision-making processes.

SDG 8 SDG 9

07 Data Processing Frameworks for Big Data +

This track investigates frameworks designed for efficient data processing in big data scenarios. Papers should highlight innovations in data pipelines, storage solutions, and processing architectures.

SDG 9 SDG 12

08 System Optimization Techniques +

This session focuses on optimization techniques for IT systems leveraging big data and machine learning. Contributions should discuss algorithms and methodologies that improve system performance and resource utilization.

SDG 9 SDG 12

09 Analytics Frameworks in IT Infrastructure +

This track examines the development and implementation of analytics frameworks within IT infrastructure. Submissions should address the challenges and solutions in deploying analytics at scale.

SDG 9 SDG 12

10 Predictive Analytics in Engineering Applications +

This session explores the role of predictive analytics in various engineering applications. Researchers are encouraged to present case studies that demonstrate the effectiveness of predictive models in real-world scenarios.

SDG 9 SDG 12

11 Emerging Trends in Big Data and Machine Learning +

This track highlights emerging trends and future directions in the fields of big data and machine learning. Contributions should provide insights into novel research areas and potential applications that could shape the industry.

SDG 9 SDG 12