Pre-Enrollment

11th January 2027

Final Paper Submission

16th January 2027

Registration Deadline

26th January`2027

Conference Date

10th Feb - 11th Feb 2027

Call for Papers

The International Conference on Data Mining and Machine Learning invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

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
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review