Our Main Projects
- Manipulating, analyzing, and interpreting clinical, psychological, financial, and operational data of research studies.
- Surveys on client satisfaction with public (Municipal) services via both paper-based and Smartphone questionnaires.
- Building a predictive model for a time series dataset of electricity consumption by ensembling statistical models and neural networks.
- Data mining of newborns dataset, recorded in the hospitals.
- Data mining of parking demand and occupancy prediction via machine learning techniques.
- Modeling a GIS-based transportation data of solid waste disposal.
- Building a classifier for office advising by time series classification.
- Measuring the impact of the costs of different types of advertising on sales of a product, using Adstock transformations in autoregressive models and machine learning approaches.
- Traffic anomalies detection using the combination of unsupervised learning techniques such as density-based clustering and predictive confidence bounds.
- Imbalanced data classification for designing a model to reduce vehicle counting error of urban license plate cameras.
- Comparing the efficiency and productivity of Iranian banks
- Forecasting the number of daily arrived packages at a post office by both classical time series methods and machine learning techniques.
- Forecasting yearly energy prices using the Bayesian structural time series method.
- Studying the influence of a new medicine on categorical clinical symptoms and laboratory factors of patients through 4 stages of treatment using a generalized linear mixed model.
- Applying Process Macro models via SPSS for predicting a psychological variable according to independent, moderated, and mediated variables.
Some of DataStatistica's Projects at a Glance
