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Martti Juhola

Biographic Data

ID9292916
NAMEMartti Juhola
GIVEN NAMESMartti
FAMILY NAMEJuhola
SIGNATUREJUHOLA M
AFFILIATIONSTampere University
ORCID0000-0003-2298-9553
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Comparing representations of a discipline derived through LDA vs. intellectual content analysis

    Open Access•Kaisa Ylikruuvi, Kalervo Järvelin et al.•ARTICLE•Scientometrics•2025

    The paper looks at the methodology of empirical analyses of the content and structure of Information Science (IS). The traditional approach in empirical analysis is intellectual content analysis (ICA) of a representative data set. The high labor cost prohibits the analysis of massive data sets. A recent alternative is based on data mining/machine learning. Its strength is the capability of analyzing massive datasets efficiently. However, a signif…

  • GDP growth vs. criminal phenomena

    Open Access•Xingan Li, Henry Joutsijoki et al.•ARTICLE•AI & Society•2018

  • Country crime analysis using the self-organizing map, with special regard to demographic factors

    Open Access•Xingan Li, Martti Juhola•ARTICLE•AI & Society•2014

No prominent works on this page.

  • Country crime analysis using the self-organizing map, with special regard to demographic factors

    Open Access•Xingan Li, Martti Juhola•ARTICLE•AI & Society•2014

  • GDP growth vs. criminal phenomena

    Open Access•Xingan Li, Henry Joutsijoki et al.•ARTICLE•AI & Society•2018

  • Comparing representations of a discipline derived through LDA vs. intellectual content analysis

    Open Access•Kaisa Ylikruuvi, Kalervo Järvelin et al.•ARTICLE•Scientometrics•2025

    The paper looks at the methodology of empirical analyses of the content and structure of Information Science (IS). The traditional approach in empirical analysis is intellectual content analysis (ICA) of a representative data set. The high labor cost prohibits the analysis of massive data sets. A recent alternative is based on data mining/machine learning. Its strength is the capability of analyzing massive datasets efficiently. However, a signif…

Computer Science (3 works) · Sociology (3 works) · Artificial Intelligence (2 works) · Crime Patterns and Interventions (2 works) · Mathematics (2 works) · Social science (2 works) · Anomaly Detection Techniques and Applications (1 work) · Business (1 work) · Cluster analysis (1 work) · Computational and Text Analysis Methods (1 work)

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