碩士 / 元智大學 / 工業工程與管理學系 / 97 / Customer Relationship Management (Customer Relationship Management, CRM) system that contains basic information on each customer interaction and synthesis of historical records and database customers, and systematic classification of users through a number of methods such as data mining (Data Mining), decision tree (Decision Tree) to find the database and other valuable information. Which the decision tree analysis of algorithms in the database occupies an important position, while the majority of the papers are the use of a database, use a similar decision tree algorithm to compare the decision tree algorithms which achieve better results, fresh less to discuss the conditions for classification. The purpose of this study therefore hopes to be able to propose a classification of the end of the database used to assess the conditions of each classification in a subset of the benchmark model.
Therefore, we choose the CHAID decision tree algorithms in this study, because CHAID can be due to the formation of a number of policy points, compared close to real-world scenarios. Followed by multiple logistic regression used to derive expectations of probability π(x),π(x) to assess the use of classification in the same subset under the conditions that most analysts expectations.
Finally, we can understand the use of expectations in the expectations of probability, because the two categories will take into account the correlation between the conditions, it can not use more than likely look forward to more rapidly achieve the target amounts of information.
| Identifer | oai:union.ndltd.org:TW/097YZU05031061 |
| Date | January 2009 |
| Creators | Hung-Pin Tsai, 蔡泓斌 |
| Contributors | Yun-Shiow Chen, 陳雲岫 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 67 |
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