JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Dynamic knowledge mapping guided by data mining: Application on Healthcare |
| 영문제목(English Title) |
Dynamic knowledge mapping guided by data mining: Application on Healthcare |
| 저자(Author) |
Menaouer Brahami
Baghdad Atmani
Nada Matta
|
| 원문수록처(Citation) |
VOL 09 NO. 01 PP. 0001 ~ 0030 (2013. 03) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic heritage knowledge of an organization. In this paper, we present a new mapping approach based on the Boolean modeling of critical domain knowledge and on the use of different data sources via the data mining technique in order to improve the process of acquiring knowledge explicitly. To evaluate our approach, we have initiated a process of mapping that is guided by machine learning that is artificially operated in the following two stages: data mining and automatic mapping. Data mining is be initially run from an induction of Boolean case studies (explicit). The mapping rules are then used to automatically improve the Boolean model of the mapping of critical knowledge
|
| 키워드(Keyword) |
Knowledge Management
Knowledge Mapping (Knowledge Cartography)
Knowledge Representation
Boolean Modeling
Cellular Machine
Data Mining
Boolean Inference Engine
|
| 파일첨부 |
|
