International Conference on

Data Mining and Knowledge Discovery in Statistics (ICDMKDS-27)

23rd – 24th Mar 2027 | Charleroi, Belgium | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Data Mining and Knowledge Discovery in Statistics invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Statistics, Data Science encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data mining techniques in statistics
02
Knowledge discovery in large datasets
03
Statistical methods for data preprocessing
04
Data visualization in data mining
05
Mining temporal and spatial data
06
Statistical learning for big data
07
Pattern recognition in data mining
08
Data mining applications in healthcare
09
Statistical challenges in data mining
10
Ethics in data mining practices
11
Data mining for social network analysis
12
Statistical models for anomaly detection
13
Data-driven decision making strategies
14
Machine learning in data mining
15
Data mining in finance and economics
16
Text mining and natural language processing
17
Data mining for predictive analytics
18
Integrating data mining with statistics
19
Real-time data mining applications
20
Future trends in data mining
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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