Hybrid Conference (In Person / Virtual)

International Conference on Data Analytics and Predictive Modeling Techniques (ICDAPMT - 27)
11th - 12th February 2027 , Napier, New Zealand
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Call For Papers

The ICDAPMT 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 Statistics, Data Science, encouraging participation from emerging researchers and fostering academic growth.

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

01
Predictive modeling techniques in analytics
02
Data analytics for business intelligence
03
Statistical methods for predictive analytics
04
Machine learning in predictive modeling
05
Big data analytics for decision making
06
Predictive analytics in healthcare
07
Data visualization for predictive insights
08
Statistical modeling for customer behavior
09
Predictive analytics in marketing strategies
10
Data-driven approaches to risk management
11
Predictive modeling for financial forecasting
12
Real-time predictive analytics applications
13
Ethics in predictive modeling practices
14
Statistical techniques for anomaly detection
15
Data analytics for operational efficiency
16
Predictive analytics in social sciences
17
Integrating predictive modeling with AI
18
Future trends in predictive analytics
19
Statistical learning for predictive insights
20
Applications of predictive modeling in industry

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.