International Conference on Advances in Big Data Analytics (ICABDA - 27)

This track focuses on the latest advancements in predictive analytics methodologies and their applications across various industries. Researchers are invited to present novel approaches that enhance the accuracy and efficiency of predictive models.

This session will explore cutting-edge machine learning algorithms tailored for big data environments. Contributions that demonstrate the scalability and effectiveness of these techniques in real-world scenarios are highly encouraged.

This track aims to discuss innovative data visualization techniques that facilitate better understanding and interpretation of complex datasets. Papers that showcase the integration of visualization tools with big data analytics are particularly welcome.

This session will investigate the role of cloud computing in enhancing big data analytics capabilities. Researchers are invited to present findings on cloud-based architectures and their impact on data processing and storage.

This track addresses the challenges and solutions related to data integration from heterogeneous sources in big data environments. Contributions that propose novel frameworks for effective data management are encouraged.

This session will highlight the application of artificial intelligence in engineering contexts through advanced analytics. Papers that demonstrate AI's role in optimizing engineering processes and decision-making are sought.