کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
384504 | 660848 | 2009 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A case study of applying data mining techniques in an outfitter’s customer value analysis
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A case study of applying data mining techniques in an outfitter’s customer value analysis A case study of applying data mining techniques in an outfitter’s customer value analysis](/preview/png/384504.png)
چکیده انگلیسی
This study applies K-means method, fuzzy c-means clustering method and bagged clustering algorithm to the analysis of customer value for an outfitter in Taipei, Taiwan. These three techniques bear similar philosophy for data classification. Thus, it would be of interest to know which clustering technique performs best in a real world case of evaluating customer value. Using cluster quality assessment, this study concludes that bagged clustering algorithm outperforms the other two methods. To conclude the analyses, this study also suggests marketing strategies for each cluster based on the results generated by bagged clustering technique.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 36, Issue 3, Part 2, April 2009, Pages 5909–5915
Journal: Expert Systems with Applications - Volume 36, Issue 3, Part 2, April 2009, Pages 5909–5915
نویسندگان
Shian-Chang Huang, En-Chi Chang, Hsin-Hung Wu,