Hybrid Conferencee

International Conference on Data Mining and Knowledge Discovery in Statistics (ICDMKDS - 26)

28th - 29th August 2026 | Kowloon City, Hong Kong

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Kowloon City. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Kowloon City event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Kowloon City conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Kowloon City, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Kowloon City."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDMKDS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Statistics,Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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