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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bao-Cheng Su Jian-Chao Xu Shu-Yan Chen Zhi-Ping Li |
| Copyright Year | 2006 |
| Description | Author affiliation: Acad. of Comput. Sci. & Eng., Changchun Univ. of Technol. (Bao-Cheng Su) |
| Abstract | In this paper, we propose a new efficient data reduction algorithm through combining lattice with rough set. On the basis of lattice learning, the algorithm applies the concept of attribute reduction in the theory of rough sets and calculates the importance degree of attributes automatically by a density based approach. Under acceptable classification precision and complexity, it reduces row and column together and generates concise classification rules. The algorithm represents a solution to the problem of attribute generalization on the basis of lattice learning and automatic estimation of attribute weights independently of domain experts. Attributes in the classification rules are ordered by the importance degree of attribute. So in the classification and by the sequence of importance degree of attribute, from one attribute to another, we can exclude the objects which dissatisfy the constraint from the attribute. And then it can, to a large extent, reduce the size of data set of object classified by scanning attribute of the rules, and thereby the efficiency of classification is improved greatly |
| Sponsorship | IEEE Syst., Man and Cybernetics Hebei Univ. |
| Starting Page | 990 |
| Ending Page | 995 |
| File Size | 299418 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424400619 |
| DOI | 10.1109/ICMLC.2006.258530 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lattices Rough sets Data mining Machine learning Knowledge engineering Computer science Data engineering Educational technology Laboratories Computer science education automatic evaluation lattice lattice machine rough set hypertuple weight |
| Content Type | Text |
| Resource Type | Article |
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