Presentation | 1999/3/19 A New BP Classification Method Using Multi Variate Analysis Nobukatsu Kitajima, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, a new Back Propagation (BP) classification method is proposed for attributive data like customer data to use at credit scoring or marketing such as age, income, occupation and so on. The method employs the number of input predictor variables which effects on classification results seriously, as the least number of middle unit of multi layer perceptron (MLP). In the method, data translation into the form which is easier to learn for MLP is also executed. From numerical simulations using credit scoring data, the classifier is able to prevent over-fitting for delinquent data which is supposed as having complicated distribution. The method showed 20% higher classification performance in delinquent data recognition of completely unknown data without serious loss for whole classification performance than quantification theory type II classifier which is used conventionally. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | BP / MLP / multivariate analysis / linear discriminant analysis / classification / data mining |
Paper # | NC98-153 |
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Conference Information | |
Committee | NC |
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Conference Date | 1999/3/19(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A New BP Classification Method Using Multi Variate Analysis |
Sub Title (in English) | |
Keyword(1) | BP |
Keyword(2) | MLP |
Keyword(3) | multivariate analysis |
Keyword(4) | linear discriminant analysis |
Keyword(5) | classification |
Keyword(6) | data mining |
1st Author's Name | Nobukatsu Kitajima |
1st Author's Affiliation | Human Media Research Laboratories, NEC Corporation() |
Date | 1999/3/19 |
Paper # | NC98-153 |
Volume (vol) | vol.98 |
Number (no) | 674 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |