The improvement of response modeling: combining rule-induction and case-based reasoning

被引：12

作者：

Coenen, F ^{[1
]}

Swinnen, G ^{[1
]}

Vanhoof, K ^{[1
]}

Wets, G ^{[1
]}

机构：

[1] Limburgs Univ Ctr, Dept Appl Econ, B-3590 Diepenbeek, Belgium

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2000年 / 18卷 / 04期

关键词：

C4.5; algorithm; case-based reasoning; data mining; direct mail; response modeling; typicality;

D O I：

10.1016/S0957-4174(00)00012-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Direct mail is a typical example for response modeling to be used. In order to decide which people will receive the mailing, the potential customers are divided into two groups or classes (buyers and non-buyers) and a response model is created. Since the improvement of response modeling is the purpose of this paper, we suggest a combined approach of rule-induction and case-based reasoning. The initial classification of buyers and non-buyers is done by means of the CS-algorithm. To improve the ranking of the classified cases, we introduce in this research rule-predicted typicality. The combination of these two approaches is tested on synergy by elaborating a direct mail example. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：307 / 313

页数：7

共 14 条

[1]

AIJUN A, 1998, MULTIMODAL REASONING

[2]

[Anonymous], MACHINE LEARNING /

[3]

BAYER J, 1998, AUTOMATED RESPONSE M

[4]

Brodley C. E., 1996, P 13 NAT C ART INT

[5]

DOMINGOS P, 1998, MULTIMODAL REASONING

[6]

DOMINGOS P, 1997, KNOWLEDGE DISCOVERY

[7]

GOONATILAKE S, 1995, INTELLIGENT SYSTEMS, P42

[8]

Ling C. X., 1998, Proceedings Fourth International Conference on Knowledge Discovery and Data Mining, P73

[9]

Quinlan R, 1993, C4.5: Programs for Machine Learning

[10]

SABATER J, 1988, MULTIMODAL REASONING

← 1 2 →