Presenting data as similarity clusters instead of lists. Data from local politics as an example.

Mauri Kaipainen; Timo Koskenniemi; Antti Kerminen; Antti Raike; Antti Ellonen

Presenting data as similarity clusters instead of lists. Data from local politics as an example.

Mauri Kaipainen
, Timo Koskenniemi
, Antti Kerminen
, Antti Raike
, Antti Ellonen

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

Original language	English
Title of host publication	Universal Access In HCI: Towards an Information Society for All, Proceedings of HCI International 2001 (the 9th International Conference on Human-Computer Interaction), New Orleans, USA, August 5-10,
Place of Publication	London
Publisher	Lawrence Erlbaum Associates
Pages	675-679
ISBN (Print)	0-8058-3609-8
Publication status	Published - 2001
MoE publication type	A3 Book section, Chapters in research books

Cite this

Kaipainen, M., Koskenniemi, T., Kerminen, A., Raike, A., & Ellonen, A. (2001). Presenting data as similarity clusters instead of lists. Data from local politics as an example. In Universal Access In HCI: Towards an Information Society for All, Proceedings of HCI International 2001 (the 9th International Conference on Human-Computer Interaction), New Orleans, USA, August 5-10, (pp. 675-679). Lawrence Erlbaum Associates.

Kaipainen, Mauri ; Koskenniemi, Timo ; Kerminen, Antti et al. / Presenting data as similarity clusters instead of lists. Data from local politics as an example. Universal Access In HCI: Towards an Information Society for All, Proceedings of HCI International 2001 (the 9th International Conference on Human-Computer Interaction), New Orleans, USA, August 5-10,. London : Lawrence Erlbaum Associates, 2001. pp. 675-679

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Kaipainen, M, Koskenniemi, T, Kerminen, A, Raike, A & Ellonen, A 2001, Presenting data as similarity clusters instead of lists. Data from local politics as an example. in Universal Access In HCI: Towards an Information Society for All, Proceedings of HCI International 2001 (the 9th International Conference on Human-Computer Interaction), New Orleans, USA, August 5-10,. Lawrence Erlbaum Associates, London, pp. 675-679.

Presenting data as similarity clusters instead of lists. Data from local politics as an example. / Kaipainen, Mauri; Koskenniemi, Timo; Kerminen, Antti et al.
Universal Access In HCI: Towards an Information Society for All, Proceedings of HCI International 2001 (the 9th International Conference on Human-Computer Interaction), New Orleans, USA, August 5-10,. London: Lawrence Erlbaum Associates, 2001. p. 675-679.

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

TY - CHAP

T1 - Presenting data as similarity clusters instead of lists. Data from local politics as an example.

AU - Kaipainen, Mauri

AU - Koskenniemi, Timo

AU - Kerminen, Antti

AU - Raike, Antti

AU - Ellonen, Antti

PY - 2001

Y1 - 2001

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BT - Universal Access In HCI: Towards an Information Society for All, Proceedings of HCI International 2001 (the 9th International Conference on Human-Computer Interaction), New Orleans, USA, August 5-10,

PB - Lawrence Erlbaum Associates

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Kaipainen M, Koskenniemi T, Kerminen A, Raike A, Ellonen A. Presenting data as similarity clusters instead of lists. Data from local politics as an example. In Universal Access In HCI: Towards an Information Society for All, Proceedings of HCI International 2001 (the 9th International Conference on Human-Computer Interaction), New Orleans, USA, August 5-10,. London: Lawrence Erlbaum Associates. 2001. p. 675-679