A Software System for the Microbial Source Tracking Problem

David Sanchez, Lluis A. Belanche, Anicet R. Blanch
Proceedings of the Second Workshop on Applications of Pattern Analysis, PMLR 17:56-62, 2011.

Abstract

The aim of this paper is to report the achievement of Ichnaea, a fully computer-based prediction system that is able to make fairly accurate predictions for Microbial Source Tracking studies. The system accepts examples showing different concentration levels, uses indicators (variables) with different environmental persistence, and can be applied at different geographical or climatic areas. We describe the inner workings of the system and report on the specific problems and challenges arisen from the machine learning point of view and how they have been addressed.

Cite this Paper

BibTeX
@InProceedings{pmlr-v17-sanchez11a, title = {A Software System for the Microbial Source Tracking Problem}, author = {Sanchez, David and Belanche, Lluis A. and Blanch, Anicet R.}, booktitle = {Proceedings of the Second Workshop on Applications of Pattern Analysis}, pages = {56--62}, year = {2011}, editor = {Diethe, Tom and Balcazar, Jose and Shawe-Taylor, John and Tirnauca, Cristina}, volume = {17}, series = {Proceedings of Machine Learning Research}, address = {CIEM, Castro Urdiales, Spain}, month = {19--21 Oct}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v17/sanchez11a/sanchez11a.pdf}, url = {https://proceedings.mlr.press/v17/sanchez11a.html}, abstract = {The aim of this paper is to report the achievement of Ichnaea, a fully computer-based prediction system that is able to make fairly accurate predictions for Microbial Source Tracking studies. The system accepts examples showing different concentration levels, uses indicators (variables) with different environmental persistence, and can be applied at different geographical or climatic areas. We describe the inner workings of the system and report on the specific problems and challenges arisen from the machine learning point of view and how they have been addressed.} }
Endnote
%0 Conference Paper %T A Software System for the Microbial Source Tracking Problem %A David Sanchez %A Lluis A. Belanche %A Anicet R. Blanch %B Proceedings of the Second Workshop on Applications of Pattern Analysis %C Proceedings of Machine Learning Research %D 2011 %E Tom Diethe %E Jose Balcazar %E John Shawe-Taylor %E Cristina Tirnauca %F pmlr-v17-sanchez11a %I PMLR %P 56--62 %U https://proceedings.mlr.press/v17/sanchez11a.html %V 17 %X The aim of this paper is to report the achievement of Ichnaea, a fully computer-based prediction system that is able to make fairly accurate predictions for Microbial Source Tracking studies. The system accepts examples showing different concentration levels, uses indicators (variables) with different environmental persistence, and can be applied at different geographical or climatic areas. We describe the inner workings of the system and report on the specific problems and challenges arisen from the machine learning point of view and how they have been addressed.
RIS
TY - CPAPER TI - A Software System for the Microbial Source Tracking Problem AU - David Sanchez AU - Lluis A. Belanche AU - Anicet R. Blanch BT - Proceedings of the Second Workshop on Applications of Pattern Analysis DA - 2011/10/21 ED - Tom Diethe ED - Jose Balcazar ED - John Shawe-Taylor ED - Cristina Tirnauca ID - pmlr-v17-sanchez11a PB - PMLR DP - Proceedings of Machine Learning Research VL - 17 SP - 56 EP - 62 L1 - http://proceedings.mlr.press/v17/sanchez11a/sanchez11a.pdf UR - https://proceedings.mlr.press/v17/sanchez11a.html AB - The aim of this paper is to report the achievement of Ichnaea, a fully computer-based prediction system that is able to make fairly accurate predictions for Microbial Source Tracking studies. The system accepts examples showing different concentration levels, uses indicators (variables) with different environmental persistence, and can be applied at different geographical or climatic areas. We describe the inner workings of the system and report on the specific problems and challenges arisen from the machine learning point of view and how they have been addressed. ER -
APA
Sanchez, D., Belanche, L.A. & Blanch, A.R.. (2011). A Software System for the Microbial Source Tracking Problem. Proceedings of the Second Workshop on Applications of Pattern Analysis, in Proceedings of Machine Learning Research 17:56-62 Available from https://proceedings.mlr.press/v17/sanchez11a.html.

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