Data Analytics and Applied Mathematics (DAAM) is a biannually peer- reviewed journal - dedicated to publish significant advances covering data analytics and applied mathematics fields. DAAM welcomes submissions in statistics and data science, pure mathematics, operational research, applied mathematics, and computational mathematics.

Scopes of the Journal

The scopes of the proposed field is not limited to the field mentioned. Other relevant fields will also considered.

Statistics & Data Science:
Big Data Analytics, Data Visualization, Statistical Modeling & Simulation, Multivariate Statistics, Time Series Analysis & Forecasting, Mathematical Statistics, Statistical Methods, Probability, Nonparametric Statistics, Circular Statistics, Computational Statistics, Spatial Analysis, Predictive Analytics, Prescriptive Analytics, Data Mining, Machine Learning, Artificial Intelligence, Quality Control.

Pure Mathematics:
Group Theory, Graph Theory, Formal Language Theory, Mathematical Analysis, Topology, Galois

Operational Research:
Control Theory, Optimization, Multi-Agent Systems, Fuzzy, Decision Sciences

Applied Mathematics:
Fluid Mechanics, Heat and Mass Transfer, Mathematical Modelling, Fluid Dynamics, Nanofluids

Computational Mathematics:
Computer Aided Geometric Design, Numerical Analysis, Neural Network