Conditional Probability Table Limit Based Quantization

Code and datasets used in the article "Conditional Probability Table Limit Based Quantization for Bayesian Networks: model quality, data fidelity and structure score"

clbq.py - Conditional Probability Table Limit Based Quantization (CLBQ) algorithm which quantizes data based on a Bayesian Network structure.

D4.csv - Simulated dataset composed of four variables of discrete values with added noise.

weather.csv - Dataset from the Brazilian city Imperatriz in the state of Maranhão containing hourly measurements of temperature, humidity, radiation, and wind speed. The measurements start at 23:00 on 02/03/2008 and end at 14:00 on 21/01/2022. This data was obtained from the National Institute of Meteorology (INMET) and is a public and open dataset. The data used can be accessed at https://tempo.inmet.gov.br/TabelaEstacoes/A225.

xyz.csv - Simulated dataset composed of three continuous variables.

xyz3.csv - Simulated dataset composed of three continuous variables.