Estimating Disaggregated Employment Size from Points-of-Interest and Census Data : From Mining the Web to Model Implementation and Visualization

@inproceedings{Rodrigues2013EstimatingDE,
  title={Estimating Disaggregated Employment Size from Points-of-Interest and Census Data : From Mining the Web to Model Implementation and Visualization},
  author={Filipe Rodrigues and Ana Alves and Evgheni Polisciuc and Shan Jiang},
  year={2013}
}
The global spread of internet access and the ubiquity of internet capable devices has lead to an increased online presence on the behalf of companies and businesses, namely in collaborative platforms called local directories, where Points-ofInterest (POIs) are usually classified with a set of categories and tags. Such information can be extremely useful, especially if aggregated under a common (shared) taxonomy. This article proposes a complete framework for the urban planning task of… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 24 references

Naics association: Frequently asked questions, February 2010. http://www.naics.com/faq.htm

N. Association
2010
View 1 Excerpt

North american industry classification system (naics): Introduction, February 2010. http://www.census.gov/eos/www/naics

U. C. Bureau
2010
View 2 Excerpts

Patterns of knowledge: The geography of advanced services and the case of art and culture

E. Currid, J. Connolly
Annals of the Association of American Geographers, 98:414–434 • 2008
View 1 Excerpt

Extracting land-use information related to socio-economic function from quickbird imagery: A case study of semarang area

P. Danoedoro
indonesia. Map Asia 2006 • 2006
View 1 Excerpt

Spatial clustering of the u.s. biotech industry

P. Sambidi, W. Harrison
Annual meeting, • 2006
View 2 Excerpts

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