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

Yu Chen; Peter Flach

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

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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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 language	English
Title of host publication	Proceedings of the ECML/PKDD 2015 Discovery Challenges
Subtitle of host publication	co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015)
Publisher	CEUR-WS
Number of pages	9
Publication status	Published - 7 Dec 2015
Event	ECML/PKDD 2015 Discovery Challenges, ECML-PKDD-DCs 2015 - Porto, Portugal Duration: 7 Sept 2015 → 11 Sept 2015

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS
Volume	1526
ISSN (Print)	1613-0073

Conference

Conference	ECML/PKDD 2015 Discovery Challenges, ECML-PKDD-DCs 2015
Country/Territory	Portugal
City	Porto
Period	7/09/15 → 11/09/15

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/

@inproceedings{7bfb9fbd432c4af1a22013613a006ad7,

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

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.",

author = "Yu Chen and Peter Flach",

year = "2015",

month = dec,

day = "7",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS",

booktitle = "Proceedings of the ECML/PKDD 2015 Discovery Challenges",

note = "ECML/PKDD 2015 Discovery Challenges, ECML-PKDD-DCs 2015 ; Conference date: 07-09-2015 Through 11-09-2015",

}

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, ECML/PKDD 2015 Discovery Challenges, ECML-PKDD-DCs 2015, Porto, Portugal, 7/09/15. <http://ceur-ws.org/Vol-1526/>

SVR-based modelling for the MoReBikeS challenge: Analysis, visualisation and prediction. / Chen, Yu ; Flach, Peter.
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-WS, 2015. (CEUR Workshop Proceedings; Vol. 1526).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - SVR-based modelling for the MoReBikeS challenge

T2 - ECML/PKDD 2015 Discovery Challenges, ECML-PKDD-DCs 2015

AU - Chen, Yu

AU - Flach, Peter

PY - 2015/12/7

Y1 - 2015/12/7

N2 - 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.

AB - 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.

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M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:84962611707

T3 - CEUR Workshop Proceedings

BT - Proceedings of the ECML/PKDD 2015 Discovery Challenges

PB - CEUR-WS

Y2 - 7 September 2015 through 11 September 2015

ER -

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

Abstract

Publication series

Conference

Structured keywords

Access to Document

Handle.net

Other files and links

Fingerprint

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)

Efficient Continual Learning: Approaches and Measures

Cite this

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

Abstract

Publication series

Conference

Structured keywords

Access to Document

Handle.net

Other files and links

Fingerprint

Research output

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)

Student theses

Efficient Continual Learning: Approaches and Measures

Cite this