Selecting suitable solution strategies for classes of graph coloring instances using data mining

Nur Insani; Kate Amanda Smith-Miles; Davaatseren Baatar

doi:10.1109/ICITEED.2013.6676240

Selecting suitable solution strategies for classes of graph coloring instances using data mining

Nur Insani, Kate Amanda Smith-Miles, Davaatseren Baatar

School of Mathematics

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

1 Citation (Scopus)

Original language	English
Title of host publication	Proceedings of 2013 International Conference on Information Technology and Electrical Engineering
Editors	Prapto Nugroho
Place of Publication	New Jersey USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	208 - 215
Number of pages	8
ISBN (Print)	9781479904259
DOIs	https://doi.org/10.1109/ICITEED.2013.6676240
Publication status	Published - 2013
Event	International Conference on Information Technology and Electrical Engineering (ICITEE 2013) - The Sahid Rich Jogja Hotel, Yogyakarta, Indonesia Duration: 7 Oct 2013 → 8 Oct 2013 https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=31767

Conference

Conference	International Conference on Information Technology and Electrical Engineering (ICITEE 2013)
Abbreviated title	ICITEE 2013
Country/Territory	Indonesia
City	Yogyakarta
Period	7/10/13 → 8/10/13
Internet address	https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=31767

Access to Document

10.1109/ICITEED.2013.6676240

Cite this

Insani, N., Smith-Miles, K. A., & Baatar, D. (2013). Selecting suitable solution strategies for classes of graph coloring instances using data mining. In P. Nugroho (Ed.), Proceedings of 2013 International Conference on Information Technology and Electrical Engineering (pp. 208 - 215). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICITEED.2013.6676240

Insani, Nur ; Smith-Miles, Kate Amanda ; Baatar, Davaatseren. / Selecting suitable solution strategies for classes of graph coloring instances using data mining. Proceedings of 2013 International Conference on Information Technology and Electrical Engineering. editor / Prapto Nugroho. New Jersey USA : IEEE, Institute of Electrical and Electronics Engineers, 2013. pp. 208 - 215

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booktitle = "Proceedings of 2013 International Conference on Information Technology and Electrical Engineering",

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address = "United States of America",

note = "International Conference on Information Technology and Electrical Engineering (ICITEE 2013), ICITEE 2013 ; Conference date: 07-10-2013 Through 08-10-2013",

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Insani, N, Smith-Miles, KA & Baatar, D 2013, Selecting suitable solution strategies for classes of graph coloring instances using data mining. in P Nugroho (ed.), Proceedings of 2013 International Conference on Information Technology and Electrical Engineering. IEEE, Institute of Electrical and Electronics Engineers, New Jersey USA, pp. 208 - 215, International Conference on Information Technology and Electrical Engineering (ICITEE 2013), Yogyakarta, Indonesia, 7/10/13. https://doi.org/10.1109/ICITEED.2013.6676240

Selecting suitable solution strategies for classes of graph coloring instances using data mining. / Insani, Nur; Smith-Miles, Kate Amanda; Baatar, Davaatseren.

Proceedings of 2013 International Conference on Information Technology and Electrical Engineering. ed. / Prapto Nugroho. New Jersey USA : IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 208 - 215.

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

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AU - Smith-Miles, Kate Amanda

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Insani N, Smith-Miles KA, Baatar D. Selecting suitable solution strategies for classes of graph coloring instances using data mining. In Nugroho P, editor, Proceedings of 2013 International Conference on Information Technology and Electrical Engineering. New Jersey USA: IEEE, Institute of Electrical and Electronics Engineers. 2013. p. 208 - 215 https://doi.org/10.1109/ICITEED.2013.6676240