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  • Intended purpose - central list for use cases and available code corresponding to the case (something like GSBPM Resources Repository)
  • This kind of place has good potential, but has to be designed in advance so that there is minimum effort needed to maintain. 

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ThemeTitleCountry/OrganisationStatistics AreaML methods

Data Source

Programming LanguageProgramme code Note
Imagery AnalysisAddress Register Automated Image Recognition (AIR) modelAustraliaGeospatial statistics

Convolutional neural network 

Aerial imageryR

Imagery Analysis

Learning statistical information from images: a proof of concept (UPDATED)

Netherlands

Geospatial statistics, Income-based poverty statistics

Convolutional neural network 

Aerial imagery,

Satellite imagery

Python

Imagery Analysis

Arealstatistik Deep Learning (ADELE) (UPDATED)

SwitzerlandGeospatial statistics

Convolutional neural network, Random forest

Satellite imagery, Administrative dataPython

Imagery Analysis

Use of Landsat satellite data for the mapping of urban areas in non-census years (UPDATED)

MexicoGeospatial statistics, Urban statistics

Convolutional neural network, Extra tree

Satellite imageryPython

Imagery Analysis

Generic Pipeline for Production of Official Statistics Using Satellite Data and Machine Learning (UPDATED)

UNECENot applicable


Not applicableNot applicable

Edit & Imputation

Imputation of the variable “Attained Level of Education” in Base Register of Individuals (UPDATED)

ItalyEducation statistics

Multilayer perceptron, Log linear

Administrative data, Survey data, Census dataPythonGitHub link 
Edit & Imputation

Imputation in the sample survey on participation of Polish residents in trips (UPDATED)

Poland

Tourism statistics 

CART, Random forest, Optimal weighted nearest neighbor, Support vector machine

Survey dataR

Edit & Imputation

Machine learning for imputation (UPDATED)

Germany?

K-nearest neighbors, Bayesian network, Random forest, Support vector machine

Survey dataR

Edit & Imputation

Early estimates of energy balance statistics using machine learning (UPDATED)

Belgium VITO

Energy statistics,

Economic and financial statistics,

Weather statistics

Lasso regression, Linear regression, Neural network, Random forest, Ridge regression


PythonGitHub link
Edit & Imputation

Editing of Living Cost and Food Survey Income data (UPDATED)

UK





Edit & Imputation

Editing in the Italian Register of the Public Administration (UPDATED)

ItalyEconomic and Financial statistics

Decision tree, Random forest

Administrative data R

Edit & ImputationMachine Learning for Data Editing Cleaning in NSI : Some ideas and hints (NEW)Italy





Coding & Classification

Occupation and Economic activity coding using natural language processing - with comments (UPDATED)

Mexico

Demographic and social statistics,

Economic and financial statistics, 

Labor statistics

Extra tree, Naive bayes, XGBoost, Support vector machine, Multilayer perceptron, Decision tree, Random forest, K-nearest neighbors, Logistic regression, Ensemble

Survey dataPython
Coding & Classification

Industry and Occupation Coding (UPDATED)

CanadaLabor statistics, Business statistics

FastText

Survey dataPythonGitHub link
Coding & Classification

Sentiment Analysis of twitter data (UPDATED)

Belgium FlandersLife statistics

Word embedding, Logistic regression, XGBoost, Random forest

Social media dataPythonGitHub link
Coding & Classification

Coding textually described data on economic activity collected from Labour Force Survey (UPDATED)

Serbia





Coding & Classification

Coding Workplace Injury and Illness (UPDATED)

USALabor statistics

Neural network

Survey dataPythonGitHub link
Coding & Classification

Production description to ECOICOP (UPDATED)

PolandPrice statistics

Naive bayes, Logistic regression, Random forest, Support vector machine, Neural network

Web scraping dataPythonGithub link
Coding & Classification
Australia






Coding & Classification

Automated Coding using the IMF’s Catalog of Time Series (UPDATED)

IMF





Coding & Classification
Iceland





Coding & Classification

Standard Industrial Code Classification by Using Machine Learning (UPDATED)


NorwayBusiness registration statistics?

Logistic regression, Random forest, Naive bayes, Support vector machine, FastText, Neural network

Administrative dataPython




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