Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06) A mining method of communities keeping tacit knowledge Hong Kong, China December 18-December 22 ISBN: 0-7695-2702-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.11
The research community plays a very important role in holding valuable scientific knowledge. The authors propose a community mining system which helps to find communities of researchers by using bibliography data. The key features of our method are a network model of papers and a word assignment technique for the communities obtained. We implemented the proposed method in a graphical computer system. In this paper, we show how research communities are found using our system. Also, we evaluate the performance of the proposed method using experiments with real world data. The results demonstrate that our system can find appropriately sized research communities for a particular scientific field.
Citation:
Ryutaro Ichise, Hideaki Takeda, Satoshi Kouno, Taichi Muraki, "A mining method of communities keeping tacit knowledge," icdmw, pp.709-713, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||