資料探勘
Overview
| Works: | 206 works in 147 publications in 147 languages | |
|---|---|---|
Titles
應用集成式學習演算法增進分類準確度之研究 = = A Study of Using Ensemble Learning Algorithms for Improving Accuracy /
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R語言網頁應用程式之開發 = = Development of Web Application Using R Language /
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應用資料探勘於預測原廠汽車零件壽命之研究 = = The Application of Data Mining in Predicting the Life-Span of Original Vehicle Parts /
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應用集成式技術的推進法於資料分類準確度之研究 = = Study on Application of Using Boosting for Improving Accuracy /
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以雲端技術發展多節點資料探勘系統-以決策樹為例 = = A Multi-node Data Mining System with Cloud Technology -Using Decision Tree /
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應用Dagging集成式學習演算法改善分類準確度之研究 = = A Study of Using Dagging Ensemble Learning Algorithm for Improving Classification Accuracy /
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食品加工物流業存貨管理探究 = = Inventory Management of Food-Processing Industry /
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胃癌手術之住院日與醫療費用評估研究 = = A Study on Length of Stay and Expenditure on Surgeryof Gastric Cancer /
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運用資料探勘技術於進口精品傢俱之顧客分析 = = The Application of Data Mining to Customer Analysis of Imported Fine Furniture Company /
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智能時代 : = 人工智能.超級計算與網絡安全 = Intelligent age : artificial intelligence, super computing and network security /
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高危險妊娠之新生兒的醫療資源耗用評估研究 = = The Assessment of High-Risk Pregnancy on Neonatal Medical Resources Consumption /
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資料探勘 : = 人工智慧與機器學習發展以SPSS Modeler為範例 = Data mining : artificial intelligence and machine learning development in the case of SPSS Modeler /
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資料探勘 = 人工智慧與機器學習發展以SPSS Modeler為範例 = Data mining : artificial intelligence and machine iearning decelopment /
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R語言在管理領域的應用 = = R programming and its applications in management science.. I /
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AI時代的資料科學, 驅動創新的大數據技術 : = 技術框架 x創新模式 x 行業應用 x商業價值......整合基礎概念、技術實踐與倫理挑戰, 構建資料驅動的未來 /
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