書誌事項
- タイトル別名
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- A Memory-Based Reasoning Applicable to Business Problems
- ビジネス モンダイ ニ テキヨウ カノウ ナ キオク ニ モトヅク スイロン
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説明
Recently, data mining is remarkable as a practical solution for huge accumulated data. The classification, the goal of which is that a new data is classified into one of given groups, is one of the most generally used data mining techniques. In this paper, we discuss advantages of Memory-Based Reasoning (MBR), one of classification methods, and point out some problems to use it practically. To solve them, we propose a MBR applicable to business problems, with self-determination of proper number of neighbors, proper feature weights, normalized distance metric between categorical values, high accuracy despite dependent features, and high speed prediction. We experimentally compare our MBR with usual MBR and C5.0, one of the most popular classification methods. We also discuss the fitness of our MBR to business problems, through an application study of our MBR to the financial credit management.
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 19 20-27, 2004
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390001205106307200
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- NII論文ID
- 10014164048
- 30009884299
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- NII書誌ID
- AA11579226
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- ISSN
- 13468030
- 13460714
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- NDL書誌ID
- 7263790
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可