Knowledge analyisis with tree patterns
Tree-structured knowledge representations are increasingly being used since the relationships between data objects can be represented in a more meaningful way. A number of tree mining algorithms were developed for mining different subtree types using different parameters. At this point in research i...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
IEEE Xplore
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/16420 |
| _version_ | 1848749171219103744 |
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| author | Hadzic, Fedja Dillon, Tharam S. Chang, Elizabeth |
| author_facet | Hadzic, Fedja Dillon, Tharam S. Chang, Elizabeth |
| author_sort | Hadzic, Fedja |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Tree-structured knowledge representations are increasingly being used since the relationships between data objects can be represented in a more meaningful way. A number of tree mining algorithms were developed for mining different subtree types using different parameters. At this point in research it would be useful to discuss what kind of sub-problems can be solved within the current tree mining framework. In this paper we provide a general overview of the development in the area of tree mining and discuss motivations and useful application areas for each development. Implications of using different tree mining parameters and constraints are discussed. Such an overview will be particularly useful for those not so familiar with the area of tree mining as it can reveal useful applications within their domain of interest. It gives guidance as to which type of tree mining will be most useful for their particular application. |
| first_indexed | 2025-11-14T07:16:42Z |
| format | Conference Paper |
| id | curtin-20.500.11937-16420 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:16:42Z |
| publishDate | 2008 |
| publisher | IEEE Xplore |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-164202022-02-28T05:16:48Z Knowledge analyisis with tree patterns Hadzic, Fedja Dillon, Tharam S. Chang, Elizabeth Tree-structured knowledge representations are increasingly being used since the relationships between data objects can be represented in a more meaningful way. A number of tree mining algorithms were developed for mining different subtree types using different parameters. At this point in research it would be useful to discuss what kind of sub-problems can be solved within the current tree mining framework. In this paper we provide a general overview of the development in the area of tree mining and discuss motivations and useful application areas for each development. Implications of using different tree mining parameters and constraints are discussed. Such an overview will be particularly useful for those not so familiar with the area of tree mining as it can reveal useful applications within their domain of interest. It gives guidance as to which type of tree mining will be most useful for their particular application. 2008 Conference Paper http://hdl.handle.net/20.500.11937/16420 10.1109/HICSS.2008.226 IEEE Xplore fulltext |
| spellingShingle | Hadzic, Fedja Dillon, Tharam S. Chang, Elizabeth Knowledge analyisis with tree patterns |
| title | Knowledge analyisis with tree patterns |
| title_full | Knowledge analyisis with tree patterns |
| title_fullStr | Knowledge analyisis with tree patterns |
| title_full_unstemmed | Knowledge analyisis with tree patterns |
| title_short | Knowledge analyisis with tree patterns |
| title_sort | knowledge analyisis with tree patterns |
| url | http://hdl.handle.net/20.500.11937/16420 |