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Multi-data Mining for Understanding Leadership Behavior

We propose an approach for understanding leadership behavior in dot-jp, a non-profit organization, by analyzing heterogeneous multi-data composed of questionnaires and mailing list archives. Attitudes toward leaders were obtained from the questionnaires, and human networks were extracted from the ma...

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Autori principali: Naohiro Matsumura, Yoshihiro Sasaki
Natura: Artigo
Lingua:Inglês
Pubblicazione: Ubiquity Press 2007-03-01
Serie:Data Science Journal
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Accesso online:http://datascience.codata.org/articles/390
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