Application of Data Mining Techniques on Network Bidding Behavior
碩士 === 淡江大學 === 統計學系碩士班 === 94 === With the popularity of using the internet, internet marketing will become a major link between vendors and consumers in the near future. There are countless different types of auction websites, but in real world, less than one third of sellers can make profits fro...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/43854343230268081386 |
| Summary: | 碩士 === 淡江大學 === 統計學系碩士班 === 94 === With the popularity of using the internet, internet marketing will become a major link between vendors and consumers in the near future. There are countless different types of auction websites, but in real world, less than one third of sellers can make profits from internet auction. It is thus obvious that before running a business on the internet, careful plans and estimation are necessary. With consumer transaction data collected from Taiwan yahoo auction website, association rules and C4.5 decision-tree algorithm in data-mining techniques are adopted to find out the consumer characteristics among the consumer groups on yahoo auction website. High-price auction categories such as laptops and touch-pad PC are analyzed in our study to provide a powerful marketing support model for internet vendors.
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