Tri‐clustering : a novel approach to explore spatio‐temporal data cubes

R. Zurita-Milla; X. Wu; E. Izquierdo-Verdiguier; M.J. Kraak

Tri‐clustering : a novel approach to explore spatio‐temporal data cubes

R. Zurita-Milla, X. Wu, E. Izquierdo-Verdiguier, M.J. Kraak

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Original language	English
Title of host publication	Proceedings of GeoComputation 2017, International Conference on GeoComputation
Subtitle of host publication	Celebrating 21 Years of GeoComputation, 4-7 September 2017, Leeds, United Kingdom.
Publisher	University of Leeds
Pages	1-5
Number of pages	5
Publication status	Published - 2017
Event	2017 International Conference on GeoComputation, GeoComputation 2017: Celebrating 21 Years of GeoComputation - Leeds, United Kingdom Duration: 4 Sep 2017 → 7 Oct 2017 http://www.geocomputation.org/2017/conference/programme.html http://www.geocomputation.org/2017/conference/

Conference

Conference	2017 International Conference on GeoComputation, GeoComputation 2017
Abbreviated title	GeoComputation
Country/Territory	United Kingdom
City	Leeds
Period	4/09/17 → 7/10/17
Internet address	http://www.geocomputation.org/2017/conference/programme.html http://www.geocomputation.org/2017/conference/

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http://www.geocomputation.org/2017/papers/24.pdf

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Zurita-Milla, R., Wu, X., Izquierdo-Verdiguier, E., & Kraak, M. J. (2017). Tri‐clustering : a novel approach to explore spatio‐temporal data cubes. In Proceedings of GeoComputation 2017, International Conference on GeoComputation: Celebrating 21 Years of GeoComputation, 4-7 September 2017, Leeds, United Kingdom. (pp. 1-5). University of Leeds. http://www.geocomputation.org/2017/papers/24.pdf

@inproceedings{18155df4dd7e4dddafb7422bc17f1150,

title = "Tri‐clustering : a novel approach to explore spatio‐temporal data cubes",

author = "R. Zurita-Milla and X. Wu and E. Izquierdo-Verdiguier and M.J. Kraak",

year = "2017",

language = "English",

pages = "1--5",

booktitle = "Proceedings of GeoComputation 2017, International Conference on GeoComputation",

publisher = "University of Leeds",

note = "2017 International Conference on GeoComputation, GeoComputation 2017 : Celebrating 21 Years of GeoComputation, GeoComputation ; Conference date: 04-09-2017 Through 07-10-2017",

url = "http://www.geocomputation.org/2017/conference/programme.html, http://www.geocomputation.org/2017/conference/",

}

Zurita-Milla, R, Wu, X, Izquierdo-Verdiguier, E & Kraak, MJ 2017, Tri‐clustering : a novel approach to explore spatio‐temporal data cubes. in Proceedings of GeoComputation 2017, International Conference on GeoComputation: Celebrating 21 Years of GeoComputation, 4-7 September 2017, Leeds, United Kingdom.. University of Leeds, pp. 1-5, 2017 International Conference on GeoComputation, GeoComputation 2017, Leeds, United Kingdom, 4/09/17. <http://www.geocomputation.org/2017/papers/24.pdf>

Tri‐clustering : a novel approach to explore spatio‐temporal data cubes. / Zurita-Milla, R.; Wu, X.; Izquierdo-Verdiguier, E. et al.

Proceedings of GeoComputation 2017, International Conference on GeoComputation: Celebrating 21 Years of GeoComputation, 4-7 September 2017, Leeds, United Kingdom.. University of Leeds, 2017. p. 1-5.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Tri‐clustering : a novel approach to explore spatio‐temporal data cubes

AU - Zurita-Milla, R.

AU - Wu, X.

AU - Izquierdo-Verdiguier, E.

AU - Kraak, M.J.

PY - 2017

Y1 - 2017

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2017/conf/kraak_tri.pdf

M3 - Conference contribution

SP - 1

EP - 5

BT - Proceedings of GeoComputation 2017, International Conference on GeoComputation

PB - University of Leeds

T2 - 2017 International Conference on GeoComputation, GeoComputation 2017

Y2 - 4 September 2017 through 7 October 2017

ER -

Tri‐clustering : a novel approach to explore spatio‐temporal data cubes

Conference

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