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Mining social behavior ideas of Przewalski horses

: Thorleuchter, Dirk; Herberz, Sarah; Poel, Dirk van den

Postprint urn:nbn:de:0011-n-1911169 (105 KByte PDF)
MD5 Fingerprint: d164523472f30fc69c25712d97f86a5d
The original publication is available at
Created on: 4.1.2012

Wu, Y.:
Advances in computer, communication, control and automation : Proceedigns of the 2011 International Conference on Computer, Communication, Control and Automation, 3CA 2011, which was held in Zhuhai, China
Berlin: Springer, 2011 (Lecture notes in electrical engineering 121)
ISBN: 978-3-642-25540-3 (Print)
ISBN: 978-3-642-25541-0 (Online)
International Conference on Computer, Communication, Control and Automation (3CA) <2011, Zhuhai/China>
Conference Paper, Electronic Publication
Fraunhofer INT ()
idea mining; social behavior; Przewalski horses; text mining; knowledge discovery

Literature introduces idea mining as an approach for extracting interesting ideas from textual information. Related research focuses on extracting technological ideas as starting point for future technological research and development activities. Thus, it is limited to the technological domain. The algorithms standing behind idea mining also are optimized for the technological domain. In contrast to previous research, this work transfers idea mining to the social behavior domain by selecting and adapting parameters of the idea mining algorithm. Forward selection as main approach in stepwise regression is used to choose the predictive variables based on their statistical significance. Grid search is used to optimize the parameter values. A case study shows that these optimized idea mining parameters are successful in extracting social behavior ideas of animals in this case of Przewalski horses. Based on these findings, differences between technological ideas and social behavior ideas can be shown.