SVR-based modelling for the MoReBikeS challenge: Analysis, visualisation and prediction

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Abstract

We present a solution to the MoReBikeS challenge in ECML PKDD 2015 conference by analysing data from different aspects, by visu-alising latent patterns, by building a set of features. The proposed model is accurate, eficient yet easy to implement.
Original languageEnglish
Title of host publicationProceedings of the ECML/PKDD 2015 Discovery Challenges
Subtitle of host publicationco-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015)
PublisherCEUR-WS
Number of pages9
Publication statusPublished - 7 Dec 2015
EventECML/PKDD 2015 Discovery Challenges, ECML-PKDD-DCs 2015 - Porto, Portugal
Duration: 7 Sep 201511 Sep 2015

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
Volume1526
ISSN (Print)1613-0073

Conference

ConferenceECML/PKDD 2015 Discovery Challenges, ECML-PKDD-DCs 2015
CountryPortugal
CityPorto
Period7/09/1511/09/15

Structured keywords

  • Jean Golding

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    Chen, Y., & Flach, P. (2015). SVR-based modelling for the MoReBikeS challenge: Analysis, visualisation and prediction. In Proceedings of the ECML/PKDD 2015 Discovery Challenges: co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015) (CEUR Workshop Proceedings; Vol. 1526). CEUR-WS. http://ceur-ws.org/Vol-1526/