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ICRTDPA · Registering as Listener

International Conference on Real-Time Data Processing and Analytics

31 May - 1 Jun 2027 Oruro, Bolivia Standard / Physical Participation
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$120
virtual · $135 in person
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Registration summary

ConferenceICRTDPA
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICRTDPA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 - Quality Education SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities
01 Real-Time Data Streaming and Processing +
This track focuses on innovative methodologies and technologies for real-time data streaming and processing. Researchers are invited to present their findings on frameworks and architectures that enhance the efficiency of real-time data handling.
02 Predictive Modeling and Machine Learning in Business +
This session explores the application of predictive modeling and machine learning techniques in various business contexts. Contributions should highlight novel approaches that improve decision-making processes and business outcomes.
03 IoT Analytics and Event Processing +
This track examines the intersection of Internet of Things (IoT) analytics and event processing systems. Papers should discuss frameworks and algorithms that facilitate real-time insights from IoT-generated data.
04 Data Integration and Cloud Analytics +
This session addresses the challenges and solutions related to data integration in cloud environments for analytics purposes. Researchers are encouraged to share their work on seamless data integration techniques that enhance cloud-based analytics.
05 High-Performance Computing for Big Data Analytics +
This track focuses on leveraging high-performance computing (HPC) to tackle big data analytics challenges. Submissions should present advancements in computational methods that enable efficient processing of large datasets.
06 Data Visualization Techniques for Real-Time Insights +
This session highlights innovative data visualization techniques that facilitate real-time insights and decision-making. Contributions should demonstrate how effective visualization can enhance the understanding of complex data streams.
07 Analytics Pipelines and Automation +
This track explores the design and implementation of analytics pipelines that automate data processing and analysis. Papers should focus on methodologies that streamline the analytics workflow from data ingestion to actionable insights.
08 Business Intelligence and Risk Analytics +
This session delves into the role of business intelligence tools in risk analytics and management. Researchers are invited to present studies that illustrate how data-driven insights can mitigate risks in business environments.
09 Streaming Algorithms for Real-Time Decision Making +
This track focuses on the development and application of streaming algorithms that support real-time decision-making processes. Submissions should highlight novel algorithmic approaches that efficiently process data streams.
10 Monitoring Systems and Data Governance +
This session addresses the importance of monitoring systems in ensuring data governance and compliance. Contributions should discuss frameworks and tools that enhance data quality and governance in real-time analytics.
11 Emerging Trends in Real-Time Analytics +
This track invites discussions on emerging trends and future directions in real-time analytics. Researchers are encouraged to share insights on innovative technologies and methodologies that are shaping the field.