在SDSS SkyServer空间数据库中挖掘复杂关系

Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004. Pub Date : 2004-09-28 DOI:10.1109/CMPSAC.2004.1342697

Bavani Arunasalam, S. Chawla, Pei Sun, Robert Munro

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引用次数: 11

摘要

利用最大参与指数(maxPI)描述了空间数据库中复杂关系的挖掘过程，maxPI具有发现低支持度和高置信度规则的特性。复杂关系是指涉及两种或两种以上的关系:多特征共置关系、自共置关系、一对多关系、自排斥关系和多特征排斥关系。我们报告了从斯隆数字巡天(SDSS)数据库中提取的数据中挖掘复杂关系的结果。

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Mining complex relationships in the SDSS SkyServer spatial database

We describe the process of mining complex relationships in spatial databases using the maximal participation index (maxPI), which has a property of discovering low support and high confidence rules. Complex relationships are defined as those involving two or more of: multifeature co-location, self-co-location, one-to many relationships, self-exclusion and multifeature exclusion. We report our results of mining complex relationships in data extracted from the Sloan Digital Sky Survey (SDSS) database.

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Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004.

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