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	ML methods	Data Source	Programming Language	Programme code	Note
Imagery Analysis	Address Register Automated Image Recognition (AIR) model	Australia	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	Python
Imagery Analysis	Arealstatistik Deep Learning (ADELE)	Switzerland	Convolutional neural network, Random forest	Satellite imagery, Administrative data	Python		Land cover statistics, Land use statistics
Imagery Analysis	Use of Landsat satellite data for the mapping of urban areas in non-census years (UPDATED)	Mexico	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	GitHub link
Edit & Imputation	Imputation in the sample survey on participation of Polish residents in trips	Poland	CART, Random forest, Optimal weighted nearest neighbor, Support vector machine	Survey data	R
Edit & Imputation	Machine learning for imputation	Germany	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	GitHub link
Edit & Imputation	Editing of Living Cost and Food Survey Income data	UK	Decision tree, Random forest, Neural network	Survey data
Edit & Imputation	Editing in the Italian Register of the Public Administration (UPDATED)	Italy	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	Extra tree, Naive bayes, XGBoost, Support vector machine, Multilayer perceptron, Decision tree, Random forest, K-nearest neighbors, Logistic regression, Ensemble	Survey data	Python	File attachment
Coding & Classification	Industry and Occupation Coding	Canada	FastText	Survey data	Python	GitHub link
Coding & Classification	Sentiment Analysis of twitter data	Belgium Flanders	Word embedding, Logistic regression, XGBoost, Random forest	Social media data	Python	GitHub link
Coding & Classification	Coding textually described data on economic activity collected from Labour Force Survey (UPDATED)	Serbia	Random forest, Support vector machine, Logistic regression	Survey data
Coding & Classification	Coding Workplace Injury and Illness	USA	Neural network	Survey data	Python	GitHub link
Coding & Classification	Production description to ECOICOP	Poland	Naive bayes, Logistic regression, Random forest, Support vector machine, Neural network	Web scraping data	Python	Github link
Coding & Classification	No report expected	Australia
Coding & Classification	Automated Coding using the IMF’s Catalog of Time Series (UPDATED)	IMF
Coding & Classification	To be received	Iceland
Coding & Classification	Standard Industrial Code Classification by Using Machine Learning	Norway	Logistic regression, Random forest, Naive bayes, Support vector machine, FastText, Neural network	Administrative data	Python

Seitenhierarchie

Versionen im Vergleich

Alte Version 57

Neue Version 58

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 (UPDATED)

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 (UPDATED)

Coding Workplace Injury and Illness

Production description to ECOICOP

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

Standard Industrial Code Classification by Using Machine Learning