Hybrid Conference (In Person / Virtual)

International Conference on Data Mining and Machine Learning (ICDMM - 26)
10th - 11th December 2026 , Mopti, Mali
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Call For Papers

The ICDMM provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Machine Learning, encouraging participation from emerging researchers and fostering academic growth.

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

01
Data preprocessing techniques for machine learning
02
Supervised vs unsupervised learning methods
03
Data visualization techniques for insights
04
Feature selection methods in data mining
05
Clustering algorithms for big data
06
Anomaly detection in data mining
07
Data mining applications in various domains
08
Predictive modeling techniques in data mining
09
Data mining for social network analysis
10
Text mining techniques and applications
11
Machine learning for data-driven decision making
12
Scalable data mining algorithms
13
Data mining ethics and privacy concerns
14
Real-time data mining applications
15
Integration of big data and machine learning
16
Data mining for healthcare analytics
17
Time series data mining techniques
18
Data mining in finance and economics
19
Challenges in data mining methodologies
20
Future trends in data mining research

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.