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Content Provider | IEEE Xplore Digital Library |
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Author | Dong-Ha Lee Dong-Yal See Kang-Sik Moon Jisook Chang Do-Won Nam Jeon-Young Lee |
Copyright Year | 1997 |
Description | Author affiliation: Intelligent Inf. Syst. Lab., Pohang Univ. of Sci. & Technol., South Korea (Dong-Ha Lee) |
Abstract | Presents an inter-class pattern discovery method for real-world databases. While the data in a conventional database has a tuple structure, the data in pattern discovery has set-values or sequences. The structural differences between them may cause useless resulting patterns, and may result in an inefficient pattern discovery method. To resolve those issues, we propose an inter-class pattern discovery methodology. The first step is to convert a conventional database into a set of objects. During the conversion process, a tuple in the original database is converted into a conceptual object and, as another result, object generalization hierarchies are generated. From the object generalization hierarchies, interesting patterns of the conceptual objects can be extracted by applying multi-level pattern discovery algorithms. The resulting patterns are inter-class patterns of the original conventional database. We also show a pattern discovery query for our methodology and its application to intelligent query processing. |
Starting Page | 326 |
Ending Page | 331 |
File Size | 546002 |
Page Count | 6 |
File Format | |
ISBN | 0818681470 |
DOI | 10.1109/DEXA.1997.617302 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1997-09-01 |
Publisher Place | France |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Association rules Data mining Intelligent systems Laboratories Query processing Moon Deductive databases Information systems Application software Computer interfaces |
Content Type | Text |
Resource Type | Article |
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