人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
論文
レコードに基づくリレーショナル特異性指向マイニング
大島 宗哲鍾 寧
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ジャーナル フリー

2007 年 22 巻 1 号 p. 1-9

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Peculiarity oriented mining (POM) is different from, and complementary to, existing approaches for discovering new, surprising and interesting patterns hidden in data. A main task of mining peculiarity rules is peculiarity identification. Previous methods for finding peculiar data are attribute-based approaches. This paper extends peculiarity oriented mining to relational peculiarity oriented mining (RPOM) in which peculiar data are identified on the record level. The experimental results in image sequences of tracking multiple walking people show that the proposed RPOM approach is effective.

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© 2007 JSAI (The Japanese Society for Artificial Intelligence)
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