International Conference on Recent Data MiningÂ

ICRDM

29th Jan – 30th Jan 2027 Crete, Greece

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Registration Summary

Conference ICRDM

Date 29th Jan – 30th Jan 2027

Location Crete, Greece

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 Advanced Data Mining Techniques +

This track focuses on the latest methodologies and algorithms in data mining, emphasizing their effectiveness in various applications. Researchers are encouraged to present innovative techniques that enhance data extraction and analysis.

SDG 9 SDG 4

02 Scalable Data Preprocessing and Cleaning Techniques +

This session addresses the challenges of data preprocessing and cleaning in large datasets. Contributions should explore scalable solutions that ensure data quality and integrity for subsequent mining processes.

SDG 12

03 Social Network Mining and Analysis +

This track invites papers that delve into the mining of social networks, focusing on user behavior, relationships, and community detection. Studies on the implications of social network analysis for various domains are particularly welcome.

SDG 10 SDG 16

04 Parallel and Distributed Data Mining Algorithms +

This session highlights advancements in parallel and distributed algorithms for data mining. Contributions should demonstrate how these approaches improve efficiency and scalability in handling large datasets.

SDG 9 SDG 12

05 Mining on Data Streams +

This track explores techniques for mining data streams, addressing the unique challenges posed by continuous data flow. Papers should focus on real-time analysis and the development of algorithms suitable for dynamic environments.

SDG 9 SDG 11

06 Graph and Subgraph Mining +

This session emphasizes the importance of graph and subgraph mining in uncovering relationships within complex data structures. Researchers are invited to present novel algorithms and applications in this area.

SDG 9 SDG 11

07 High Performance Data Mining Algorithms +

This track focuses on the development of high-performance algorithms that optimize data mining processes. Contributions should demonstrate significant improvements in computational efficiency and effectiveness.

SDG 9 SDG 12

08 Data Mining in Healthcare and Medical Informatics +

This session invites research on the application of data mining techniques in healthcare and medical informatics. Papers should explore how data mining can enhance patient care, diagnosis, and treatment outcomes.

SDG 3 SDG 9

09 Emerging Applications of Large-Scale Data Mining +

This track highlights innovative applications of large-scale data mining across various sectors, including finance, e-commerce, and disaster prediction. Researchers are encouraged to share empirical studies and case analyses.

SDG 8 SDG 9

10 Security and Privacy in Data Mining +

This session addresses the critical issues of security and privacy in data mining practices. Contributions should focus on methodologies that protect sensitive information while enabling effective data analysis.

SDG 16 SDG 11

11 Data Mining Visualization Techniques +

This track explores the role of visualization in data mining, emphasizing techniques that enhance interpretability and insight generation. Papers should present innovative approaches to visualizing complex data mining results.

SDG 4 SDG 9