Analyzing 3G quality distribution data with fuzzy rules and fuzzy clustering

Pekka Kumpulainen; Mika Särkioja; Mikko Kylväjä; Kimmo Hätönen

doi:10.1007/978-3-642-23957-1_45

Analyzing 3G quality distribution data with fuzzy rules and fuzzy clustering

Pekka Kumpulainen, Mika Särkioja, Mikko Kylväjä, Kimmo Hätönen

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

Translated title of the contribution	Analyzing 3G quality distribution data with fuzzy rules and fuzzy clustering
Original language	English
Title of host publication	Engineering Applications of Neural Networks, 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I
Editors	Lazaros Iliadis, Chrisina Jayne
Place of Publication	Heidelberg
Publisher	Springer
Pages	402-411
ISBN (Print)	978-3-642-23956-4
DOIs	https://doi.org/10.1007/978-3-642-23957-1_45
Publication status	Published - 2011
Publication type	A4 Article in conference proceedings

Publication series

Name	INNS EANN-SIG International Conference and IFIP WG 12.5 International Conference and AIAI
Publisher	Springer
Volume	363
ISSN (Print)	1868-4238

Publication forum classification

Publication forum level 1

Access to Document

10.1007/978-3-642-23957-1_45

Cite this

Kumpulainen, P., Särkioja, M., Kylväjä, M., & Hätönen, K. (2011). Analyzing 3G quality distribution data with fuzzy rules and fuzzy clustering. In L. Iliadis, & C. Jayne (Eds.), Engineering Applications of Neural Networks, 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I (pp. 402-411). (INNS EANN-SIG International Conference and IFIP WG 12.5 International Conference and AIAI; Vol. 363). Springer. https://doi.org/10.1007/978-3-642-23957-1_45

Kumpulainen, Pekka ; Särkioja, Mika ; Kylväjä, Mikko et al. / Analyzing 3G quality distribution data with fuzzy rules and fuzzy clustering. Engineering Applications of Neural Networks, 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I. editor / Lazaros Iliadis ; Chrisina Jayne. Heidelberg : Springer, 2011. pp. 402-411 (INNS EANN-SIG International Conference and IFIP WG 12.5 International Conference and AIAI).

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Kumpulainen, P, Särkioja, M, Kylväjä, M & Hätönen, K 2011, Analyzing 3G quality distribution data with fuzzy rules and fuzzy clustering. in L Iliadis & C Jayne (eds), Engineering Applications of Neural Networks, 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I. INNS EANN-SIG International Conference and IFIP WG 12.5 International Conference and AIAI, vol. 363, Springer, Heidelberg, pp. 402-411. https://doi.org/10.1007/978-3-642-23957-1_45

Analyzing 3G quality distribution data with fuzzy rules and fuzzy clustering. / Kumpulainen, Pekka; Särkioja, Mika; Kylväjä, Mikko et al.

Engineering Applications of Neural Networks, 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I. ed. / Lazaros Iliadis; Chrisina Jayne. Heidelberg : Springer, 2011. p. 402-411 (INNS EANN-SIG International Conference and IFIP WG 12.5 International Conference and AIAI; Vol. 363).

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

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Kumpulainen P, Särkioja M, Kylväjä M, Hätönen K. Analyzing 3G quality distribution data with fuzzy rules and fuzzy clustering. In Iliadis L, Jayne C, editors, Engineering Applications of Neural Networks, 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I. Heidelberg: Springer. 2011. p. 402-411. (INNS EANN-SIG International Conference and IFIP WG 12.5 International Conference and AIAI). doi: 10.1007/978-3-642-23957-1_45