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Data science glossary: Difference between revisions
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* Knowledge discovery in databases (KDD) [繁] 資料庫的知識探索 [簡] [https://baike.baidu.com/item/KDD 知识发现]。KDD 處理程序包含「data preparation, data selection, data cleaning, incorporation of appropriate prior knowledge, and proper interpretation of the results of mining, are essential to ensure that useful knowledge is derived from the data. 」從原始資料中萃取有價值的知識。(Fayyad, Piatetsky-Shapiro, and Smyth 1996<ref> Fayyad, Piatetsky-Shapiro, and Smyth (1996). [https://www.aaai.org/ojs/index.php/aimagazine/article/view/1230 From Data Mining to Knowledge Discovery in Databases | AI Magazine]</ref>) | * Knowledge discovery in databases (KDD) [繁] 資料庫的知識探索 [簡] 数据库的[https://baike.baidu.com/item/KDD 知识发现]。KDD 處理程序包含「data preparation, data selection, data cleaning, incorporation of appropriate prior knowledge, and proper interpretation of the results of mining, are essential to ensure that useful knowledge is derived from the data. 」從原始資料中萃取有價值的知識。(Fayyad, Piatetsky-Shapiro, and Smyth 1996<ref> Fayyad, Piatetsky-Shapiro, and Smyth (1996). [https://www.aaai.org/ojs/index.php/aimagazine/article/view/1230 From Data Mining to Knowledge Discovery in Databases | AI Magazine]</ref>) | ||
== M == | == M == | ||