Abstract
The attribute-oriented generalization (AOG for short) method is one of the most important data mining methods. In this paper, a reasonable approach of AOG (AOG-ags, attribute-oriented generalization based on attributes' generalization sequence), which expands the traditional AOG method efficiently, is proposed. By introducing equivalence partition trees, an optimization algorithm of the AOG-ags is devised. Defining interestingness of attributes' generalization sequences, the selection problem of attributes' generalization sequences is solved. Extensive experimental results show that the AOG-ags are useful and efficient. Particularly, by using the AOG-ags algorithm in a plant distributing dataset, some distributing rules for the species of plants in an area are found interesting.
Original language | English |
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Title of host publication | Advanced Data Mining and Applications |
Subtitle of host publication | Third International Conference, ADMA 2007, Proceedings |
Editors | Reda Alhajj, Hong Gao, Jianzhong Li, Xue Li, Osmar R. Zaïane |
Publisher | Springer |
Pages | 323-334 |
Number of pages | 12 |
Volume | 4632 |
Edition | 1 |
ISBN (Electronic) | 9783540738718 |
ISBN (Print) | 9783540738701 |
DOIs | |
Publication status | Published - 10 Sep 2007 |
Event | 3rd International Conference on Advanced Data Mining and Applications - Harbin, China Duration: 6 Aug 2007 → 8 Aug 2007 Conference number: 3 https://dl.acm.org/doi/proceedings/10.5555/1421171 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 4632 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 3rd International Conference on Advanced Data Mining and Applications |
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Abbreviated title | ADMA 2007 |
Country/Territory | China |
City | Harbin |
Period | 6/08/07 → 8/08/07 |
Internet address |