Fu, Huaiguo (2006) Formal concept analysis for digital ecosystem. In: Proceedings - 5th International Conference on Machine Learning and Applications, ICMLA 2006 :. Proceedings - 5th International Conference on Machine Learning and Applications, ICMLA 2006 . UNSPECIFIED, USA, pp. 143-148. ISBN 0769527353
Full text not available from this repository. (Request a copy)Abstract
Formal Concept Analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concept lattice, which is derived from mathematical order theory and lattice theory, is the core of FCA. Many research works of various areas show that concept lattices structures is an effective platform for data mining, machine learning, information retrieval, software engineer, etc. This paper offers a brief overview of FCA and proposes to apply FCA as a tool for analysis and visualization of data in Digital ecosystem, and also discusses the applications of data mining for Digital ecosystem.
Item Type: | Book Section |
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Uncontrolled Keywords: | /dk/atira/pure/subjectarea/asjc/1700/1702 |
Departments or Groups: | |
Depositing User: | Admin SSL |
Date Deposited: | 19 Oct 2022 23:17 |
Last Modified: | 26 Jun 2023 19:50 |
URI: | http://repository-testing.wit.ie/id/eprint/5118 |
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