his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
IDM-WSDM 2019: Workshop on interactive data mining
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab SAIL)ORCID iD: 0000-0002-2929-0529
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab SAIL)
Pontifical Catholic University of Chile, Santiago, Chile.
Halmstad University, Sweden.
2019 (English)In: WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining, Association for Computing Machinery (ACM), 2019, p. 846-847Conference paper, Published paper (Refereed)
Abstract [en]

The first Workshop on Interactive Data Mining is held in Melbourne, Australia, on February 15, 2019 and is co-located with 12th ACM International Conference on Web Search and Data Mining (WSDM 2019). The goal of this workshop is to share and discuss research and projects that focus on interaction with and interactivity of data mining systems. The program includes invited speaker, presentation of research papers, and a discussion session. © 2019 held by the owner/author(s).

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2019. p. 846-847
Keywords [en]
Data mining, Human-in-the-loop, Interactive classification and clustering, Interactive dashboards, Visual modeling, Information retrieval, Websites, Data mining system, Interactive classification, Interactive data mining, Melbourne, Australia, Research papers, Visual model
National Category
Other Computer and Information Science Information Systems Interaction Technologies
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-16671DOI: 10.1145/3289600.3291376ISI: 000482120400120Scopus ID: 2-s2.0-85061736320ISBN: 978-1-4503-5940-5 (print)OAI: oai:DiVA.org:his-16671DiVA, id: diva2:1292945
Conference
12th ACM International Conference on Web Search and Data Mining, WSDM 2019, 11 February 2019 through 15 February 2019
Note

Conference code: 144821; Export Date: 1 March 2019; Conference Paper

Available from: 2019-03-01 Created: 2019-03-01 Last updated: 2019-09-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Said, AlanBae, Juhee

Search in DiVA

By author/editor
Said, AlanBae, Juhee
By organisation
School of InformaticsThe Informatics Research Centre
Other Computer and Information ScienceInformation SystemsInteraction Technologies

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 145 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf