Identification and Purchasing Behavior Prediction of High-valued Customers.
碩士 === 淡江大學 === 統計學系碩士班 === 104 === With the advent of big data era, instead of using demographic variables, such as gender, age, area, to analyze customers’ behavior, customers’ transaction history are used most frequently. Nowadays, many companies have huge amount of customers’ transaction data. I...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/06986277607983575746 |