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PrefixUnion: Mining Traversal Patterns Efficiently in Virtual Environments.
- Source :
- Computational Science - ICCS 2005 (9783540260448); 2005, p830-833, 4p
- Publication Year :
- 2005
-
Abstract
- Sequential pattern mining is an important data mining problem with broad applications. Especially, it is also an interesting problem in virtual environments. In this paper, we propose a projection-based, sequential patterngrowth approach, called PrefixUnion. Meanwhile, we also introduce the relationships among transactions, views and objects. According to these relationships, we suggest two mining criteria — inter-pattern growth and intra-pattern growth, which utilize these characteristics to offer ordered growth and reduced projected database. As a result, the large-scale VRML models could be accessed more efficiently, allowing for a real-time walk-through in the scene. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540260448
- Database :
- Complementary Index
- Journal :
- Computational Science - ICCS 2005 (9783540260448)
- Publication Type :
- Book
- Accession number :
- 32962378
- Full Text :
- https://doi.org/10.1007/11428862_117