Pre-Enrollment

21st September 2026

Final Paper Submission

26th September 2026

Registration Deadline

6th October`2026

Conference Date

21st Oct - 22nd Oct 2026

Call for Papers

The International Conference on Data Mining and Knowledge Discovery in Statistics 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 Statistics,Data Science, 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 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

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