Mining of Data with Complex Structures
| dc.contributor.author | Hadzic, Fedja | |
| dc.contributor.author | Tan, H. | |
| dc.contributor.author | Dillon, Tharam | |
| dc.contributor.editor | Prof. Janusz Kacprzyk | |
| dc.date.accessioned | 2017-01-30T13:13:20Z | |
| dc.date.available | 2017-01-30T13:13:20Z | |
| dc.date.created | 2012-02-21T20:00:53Z | |
| dc.date.issued | 2011 | |
| dc.identifier.citation | Hadzic, Fedja and Tan, Henry and Dillon, Tharam S. 2011. Mining of Data with Complex Structures. Studies in Computational Intelligence; v.333. Berlin: Springer. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/29512 | |
| dc.description.abstract |
Table of Contents: Introduction - Tree Mining Problem - Algorithm Development Issues - Tree Model Guided Framework - TMG Framework for Mining Ordered Subtrees - TMG Framework for Mining Unordered Subtrees - Mining Distance-Constrained Embedded Subtrees - Mining Maximal And Closed Frequent Subtrees - Tree Mining Applications - Extension of TMG Framework for Mining Frequent Subsequences - Graph Mining - New Research Directions. | |
| dc.publisher | Springer | |
| dc.subject | XML Mining | |
| dc.subject | Sequence Mining | |
| dc.subject | Computational Intelligence | |
| dc.subject | Data Mining | |
| dc.subject | Complex Structures | |
| dc.subject | Graph Mining | |
| dc.subject | Tree Mining | |
| dc.title | Mining of Data with Complex Structures | |
| dc.type | Book | |
| dcterms.source.series | Studies in Computational Intelligence | |
| dcterms.source.isbn | 9783642175565 | |
| dcterms.source.place | Berlin Heidelberg, Germany | |
| curtin.department | Digital Ecosystems and Business Intelligence Institute (DEBII) | |
| curtin.accessStatus | Fulltext not available |