Sustainability Knowledge Mining from Human Development Database

Authors:
Xuefei Wang;Rusong Wang;Jue Wang
Affiliations:
-;-;-
Venue:
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Year:
1999

Citing 2
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Rough Sets: Theoretical Aspects of Reasoning about Data

Rough Sets: Theoretical Aspects of Reasoning about Data

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Abstract

This paper is to expose the concealed sustainability information to users from UNDP annual report of human development database. Different from the "understanding database by computer", the task is to tell user what meaning of the database is, and called "understanding database by human". The decernibility matrix (DM) in rough sets is used to get a qualitative description of the database. Domain knowledge is embedded in DM, and the set of its attribute reduction is employed to develop the sustainable development indicators (SDI) and its applications to the world's sustainability assessment.