Rule-guided human classification of Volunteered Geographic Information

Author:

Ali Ahmed Loai,Falomir Zoe,Schmid Falko,Freksa Christian

Funder

DAAD

BSCC

European Marie Curie project COGNITIVE-AMI

University of Bremen

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference71 articles.

1. Fast algorithms for mining association rules;Agrawal,1994

2. Al-Salman, R., 2014. Qualitative Spatial Query Processing: Towards Cognitive Geographic Information Systems. Ph.D. Thesis, University of Bremen, Supervised by Prof. Christian Freksa (University of Bremen) and Prof. Christian Jensen (Aalborg University).

3. Data quality assurance for Volunteered Geographic Information;Ali,2014

4. Ambiguity and plausibility: managing classification quality in volunteered geographic information;Ali,2014

5. Towards rule-guided classification for volunteered geographic information;Ali;ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences,2015

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