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AASDS 2024 : Special Issue on Applications and Analysis of Statistics and Data Science


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Submission Deadline Dec 31, 2024
Categories    data science   time series analysis   machine learning   predictive modelling

Call For Papers

A one-page flyer is available at:

Dear Colleagues,
This Special Issue aims to address the challenges and
opportunities encountered while applying statistical and
data science approaches across diverse domains. Topics
including but not limited to:
1. Predictive modelling: employing statistical and data
science techniques to develop accurate predictive models
for applications such as financial forecasting, disease
prediction, customer behaviour analysis, and demand
2. Machine learning: Exploring the integration of statistical
principles and machine learning algorithms, including
classification, regression, clustering, and feature selection.
Topics also encompass model interpretability, fairness,
and robustness.
3. Big data analytics: Tackling challenges and leveraging
opportunities in analysing and extracting insights from
large-scale and high-dimensional datasets. Techniques of
interest include data pre-processing, dimensionality
reduction, distributed computing, and scalable algorithms.
4. Time series analysis: examining advanced statistical
techniques for modelling and forecasting time series data,
encompassing autoregressive models and state-space
models and handling seasonality and nonstationary

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