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18.97.14.80
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Reservoir Classification using Data Mining Technology for Survivor Function
( Park Mee Jeong ) , ( Lee Joon Gu ) , ( Lee Jeong Jae )
UCI I410-ECN-0102-2018-500-003766576

Main purpose of this article is to classify reservoirs corresponding to their physical characteristics, for example, dam height, dam width, age, repair-works history. First of all, data set of 13,976 reservoirs was analyzed using k means and self organized maps. As a result of these analysis, lots of reservoirs have been classified into four clusters. Factors and their critical values to classify the reservoirs into four groups have been founded by generating a decision tree. The path rules to each group seem reasonable since their survivor function showed unique pattern.

[자료제공 : 네이버학술정보]
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