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International Conference on AI-driven Predictive Analytics and Data Mining

ICAPD

1st Oct – 2nd Oct 2026 Seoul, South Korea

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

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The deadline for Standard Participation has ended. Participants may continue with Virtual Registration to join the conference remotely.
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Terms & Condition

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Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

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

SDG 8 SDG 9 SDG 11 SDG 12
01 Advancements in AI-driven Predictive Modeling +
This track focuses on the latest methodologies and frameworks in AI-driven predictive modeling. Researchers are encouraged to present innovative approaches that enhance the accuracy and efficiency of predictive analytics.
SDG 9 SDG 12
02 Machine Learning Techniques for Data Mining +
This session explores various machine learning techniques that are pivotal in the field of data mining. Contributions should highlight novel algorithms and their applications in extracting meaningful insights from large datasets.
SDG 9 SDG 12
03 Time Series Analysis and Forecasting +
This track delves into advanced techniques for time series analysis and forecasting. Papers should address challenges and solutions in predicting future trends based on historical data.
SDG 9 SDG 13
04 Clustering Methods in Data Science +
This session examines the role of clustering methods in uncovering patterns within complex datasets. Researchers are invited to discuss both traditional and novel clustering algorithms and their applications.
SDG 9 SDG 11
05 Anomaly Detection in Big Data +
This track focuses on techniques for anomaly detection in large-scale data environments. Submissions should explore innovative methods for identifying outliers and their implications in various domains.
SDG 9 SDG 16
06 Regression Models in Predictive Analytics +
This session highlights the application of regression models in predictive analytics. Papers should present new insights into model development, validation, and practical applications across different industries.
SDG 9 SDG 12
07 Decision Trees and Their Applications +
This track investigates the use of decision trees as a fundamental tool in data mining. Contributions should discuss advancements in decision tree algorithms and their effectiveness in real-world scenarios.
SDG 9 SDG 12
08 Business Intelligence and Customer Analytics +
This session focuses on the integration of AI and data mining techniques in business intelligence and customer analytics. Researchers are encouraged to present case studies that demonstrate the impact of predictive analytics on business decision-making.
SDG 8 SDG 9
09 Risk Modeling and Management +
This track addresses the application of predictive analytics in risk modeling and management. Papers should explore methodologies that enhance risk assessment and mitigation strategies in various sectors.
SDG 8 SDG 9
10 Classification Techniques in Machine Learning +
This session examines the latest advancements in classification techniques within machine learning. Contributions should focus on novel algorithms and their effectiveness in solving classification problems.
SDG 9 SDG 12
11 Pattern Recognition and Its Applications +
This track explores the field of pattern recognition and its diverse applications in data science. Researchers are invited to discuss innovative techniques that improve the identification and classification of patterns in data.
SDG 9 SDG 11