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Multi-data Mining for Understanding Leadership Behavior Cover

Multi-data Mining for Understanding Leadership Behavior

Open Access
|Mar 2007

Abstract

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 mailing list archives. By integrating the results, we discovered that leaders must receive messages from other people as well as send messages to construct reliable relationships.
DOI: https://doi.org/10.2481/dsj.6.S61 | Journal eISSN: 1683-1470
Language: English
Published on: Mar 28, 2007
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2007 Naohiro Matsumura, Yoshihiro Sasaki, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.