請問什麼是The proposed data mining

請問什麼是The proposed data mining technique,是如何做分類

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    Copyright StatSoft, Inc., 1984-2006 版權所有statsoft公司, 1984年至2006年

    Data Mining Techniques /// 數據挖掘技術

    Data Mining 數據挖掘

    Crucial Concepts in Data Mining 關鍵概念,在數據挖掘

    Data Warehousing 數據倉庫

    On-Line Analytic Processing (OLAP) 對在線分析處理( olap )

    Exploratory Data Analysis (EDA) and Data Mining Techniques 探索性數據分析(西醫)與數據挖掘技術

    EDA vs. Hypothesis Testing 抽籤對陣假設檢驗

    Computational EDA Techniques 計算eda技術

    Graphical (data visualization) EDA techniques 圖形(數據可視化) eda技術

    Verification of results of EDA 核查結果益

    Neural Networks 神經网絡

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    Data Mining 數據挖掘

    Data Mining is an analytic process designed to explore data (usually large amounts of data - typically business or market related) in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. 數據挖掘技術是一個分析過程,目的是探索數據(通常是大量的數據,一般商業或市場相關) ,在尋求一致的模式和/或系統之間的關係變量,然後把驗證結果用檢測模式,以新亞數據.最終目標,數據挖掘是預報預測和數據挖掘 ,是最常見的數據挖掘是一個有著最直接的商業應用. 數據挖掘的處理過程共分三個階段: ( 1 )初步探索, ( 2 )建立模型或模式識別與驗證/核查 ,以及( 3 ) 部署 (即應用示範,以新數據為了產生預言) .

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    2007-08-16 12:08:40 補充:

    http://www.statsoft.com/textbook/stdatmin.html

    2007-08-16 12:09:19 補充:

    http://www.thearling.com/text/dmtechniques/dmtechn...

    Source(s): google
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