Apply Extended Self-Organizing Map to Analyze Mixed-Type Data
碩士 === 雲林科技大學 === 資訊管理系碩士班 === 98 === Mixed numeric and categorical data are commonly seen in nowadays corporate databases in which precious patterns may be hidden. Analyzing mixed-type data to extract the hidden patterns valuable to decision-making is therefore beneficial and critical for corporati...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/98921067198051589700 |