書誌事項
- タイトル別名
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- Outliers Detection Supporting System with an Object-Oriented Approach of Cell Proliferatlon Nonstationary Random Data Based on Computer Graphics
- オブジェクト シコウ ニ ヨル サイボウ ゾウショク ヒテイジョウ ジケイレツ
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This paper is concerned with the detection of false data, which is essential in data processing such as analysis of cellular proliferation of head and neck cancer. False data include, outliers and missing values. The characteristic of the method presented here is the use of computer graphics of an expert system in order to detect outliers. The determination whether measurement data are outliers or not is done by comparing the statistics with the expected value based on a chi-square test. Two examples are presented. One is normal data and the other is a case containing abnormal data.<BR>We are going to develop an outlier detection supporting. system with an object-oriented approach. The suporting system presented here have various kinds of useful knowledge.
収録刊行物
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- システム制御情報学会論文誌
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システム制御情報学会論文誌 5 (2), 61-70, 1992
一般社団法人 システム制御情報学会
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詳細情報 詳細情報について
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- CRID
- 1390001205165864576
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- NII論文ID
- 10007399131
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- NII書誌ID
- AN1013280X
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- ISSN
- 2185811X
- 13425668
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- NDL書誌ID
- 3763110
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- データソース種別
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- JaLC
- NDL
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