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Software . 2017
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Software . 2017
Data sources: Datacite
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A Machine Learning Approach to Demographic Prediction using Geohashes

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 May 2017 English Publisher:Zenodo
Authors: Roy21;
Code repository: https://github.com/Avipsa1/Demographic-Prediction/tree/v1_0_0

doi: 10.5281/zenodo.3234897 , 10.5281/zenodo.3234898

A Machine Learning Approach to Demographic Prediction using Geohashes

Abstract

Uses the Spark MLLib framework to mine frequently visited location patterns from GPS data and predicts age and gender from those locations using Linear Discriminant Analysis & Decision Trees.

Related Organizations
Keywords

Machine Learning, Geohash, Demographic Prediction, GPS trajectories, Frequent pattern mining

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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