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Hybrid Event

29th - 30th July 2026 | Kathmandu, Nepal

International Conference on Data Mining and Machine Learning (ICDMM - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICDMM) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.