By Adjusting Keyword Frequency and Separating Keyword into Different Layers to Improve Readability of KeyGraph in Decision Making
Fang-Cheng Hsu 0, Yen-Chih Wang
0Department of Information Management, Aletheia University
Available Online October 2006.
- https://doi.org/10.2991/jcis.2006.217How to use a DOI?
- KeyGraph, Chance discovery, Value focused thinking
- Providing qualified documents are expected helpful for KeyGraph to translate the documents an appropriate and easy read KeyGraph diagram. And further, to discover worthy chances for decision making. We proposed 2 preprocessing strategies for assuring appropriate quality of documents, especially for decision makers when they try to discover chances with KeyGraph. A case study of INSTANT MESSAGER is used to verify the validity and readability of the proposed strategies. The results shown that the proposed strategies are helpful for creating readability KeyGraph diagrams, and further to create clear scenarios for discovering chances.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Fang-Cheng Hsu AU - Yen-Chih Wang PY - 2006/10 DA - 2006/10 TI - By Adjusting Keyword Frequency and Separating Keyword into Different Layers to Improve Readability of KeyGraph in Decision Making BT - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press SP - 421 EP - 424 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2006.217 DO - https://doi.org/10.2991/jcis.2006.217 ID - Hsu2006/10 ER -