Seitenhistorie

Versionen im Vergleich

Schlüssel

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Comment

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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Advanced Tables - Table Plus

Theme	Title	Country/Organisation	Data Source	ML methods

Data Source

Programme code availability	Programming Language

Programme code

	Note
Imagery Analysis	Address Register Automated Image Recognition (AIR) model	Australia	Aerial imagery	Convolutional neural network

Aerial imagery

		R
Imagery Analysis	Learning statistical information from images: a proof of concept	Netherlands

Convolutional neural network

Aerial imagery,

Satellite imagery

Convolutional neural network

Python

Imagery Analysis

Arealstatistik Deep Learning (ADELE)

Switzerland

Satellite imagery, Administrative data

Convolutional neural network, Random forest

Satellite imagery, Administrative data

To be made available	Python	Land cover statistics, Land use statistics
Imagery Analysis	Use of Landsat satellite data for the mapping of urban areas in non-census years	Mexico	Satellite imagery	Convolutional neural network, Extra tree

Satellite imagery

		Python
Imagery Analysis	Generic Pipeline for Production of Official Statistics Using Satellite Data and Machine Learning	UNECE	Not applicable	Not applicable
Edit & Imputation	Imputation of the variable “Attained Level of Education” in Base Register of Individuals	Italy

Multilayer perceptron, Log linear

Administrative data, Survey data, Census data

Python

Multilayer perceptron, Log linear

Yes (Click GitHub link

)	Python
Edit & Imputation	Imputation in the sample survey on participation of Polish residents in trips	Poland	Survey data	CART, Random forest, Optimal weighted nearest neighbor, Support vector machine

Survey data

		R
Edit & Imputation	Machine learning for imputation	Germany	Survey data	K-nearest neighbors, Bayesian network, Random forest, Support vector machine

Survey data

	R
Edit & Imputation	Early estimates of energy balance statistics using machine learning	Belgium VITO		Lasso regression, Linear regression, Neural network, Random forest, Ridge regression

Python

Yes (Click GitHub link)	Python
Edit & Imputation	Editing of Living Cost and Food Survey Income data	UK	Survey data	Decision tree, Random forest, Neural network

Survey data


Edit & Imputation	Editing in the Italian Register of the Public Administration (UPDATED)	Italy	Administrative data	Decision tree, Random forest

Administrative data

		R
Edit & Imputation	Machine Learning for Data Editing Cleaning in NSI : Some ideas and hints	Italy
Coding & Classification	Occupation and Economic activity coding using natural language processing	Mexico	Survey data	Extra tree, Naive bayes, XGBoost, Support vector machine, Multilayer perceptron, Decision tree, Random forest, K-nearest neighbors, Logistic regression, Ensemble

Survey data

Yes (Click File attachment)

Python

File attachment


Coding & Classification	Industry and Occupation Coding	Canada

FastText

Survey data

Python

FastText	Yes (Click GitHub link)	Python
Coding & Classification	Sentiment Analysis of twitter data	Belgium Flanders	Social media data	Word embedding, Logistic regression, XGBoost, Random forest

Social media data

Yes (Click GitHub link)

Python

GitHub link


Coding & Classification	Coding textually described data on economic activity collected from Labour Force Survey	Serbia	Survey data	Random forest, Support vector machine, Logistic regression

Survey data


Coding & Classification	Coding Workplace Injury and Illness	USA

Neural network

Survey data

Python

Neural network	Yes (Click GitHub link)	Python
Coding & Classification	Production description to ECOICOP	Poland	Web scraping data	Naive bayes, Logistic regression, Random forest, Support vector machine, Neural network

Web scraping dataPython

Yes (Click Github link

Coding & ClassificationNo report expectedAustralia

)	Python
Coding & Classification	Automated Coding using the IMF’s Catalog of Time Series (UPDATED)	IMF
Coding & Classification	Automatic coding of occupation and industry in social statistical surveys (UPDATED)	Iceland

Deep learning

Survey data

R

Deep learning	Yes (See section 5 of the report)	R
Coding & Classification	Standard Industrial Code Classification by Using Machine Learning	Norway	Administrative data	Logistic regression, Random forest, Naive bayes, Support vector machine, FastText, Neural network

Administrative data

Python

Seitenhierarchie

Versionen im Vergleich

Alte Version 61

Neue Version 62

Schlüssel

Learning statistical information from images: a proof of concept

Arealstatistik Deep Learning (ADELE)

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

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

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

Imputation in the sample survey on participation of Polish residents in trips

Machine learning for imputation

Early estimates of energy balance statistics using machine learning

Editing of Living Cost and Food Survey Income data

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

Occupation and Economic activity coding using natural language processing

Industry and Occupation Coding

Sentiment Analysis of twitter data

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

Coding Workplace Injury and Illness

Production description to ECOICOP

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

Automatic coding of occupation and industry in social statistical surveys (UPDATED)

Standard Industrial Code Classification by Using Machine Learning