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    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/97910
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/97910


    Title: 應用巨量資料分析與增長層級式自我組織映射圖演算法於股票選擇策略
    Authors: 陳婷妤;劉文卿
    Contributors: 資管博七
    Keywords: Big Data Analytics;stock selecting strategies;stock market forecast;stock market prediction
    Date: 2015-11
    Issue Date: 2016-06-14 11:52:59 (UTC+8)
    Abstract: 股票買賣投資最終目的在於獲取最大投資報酬,其關鍵要素在於挑選優質安全的股票買賣標的。本研究運用巨量資料分析方法與平台技術,結合增長層級式自我組織映射圖演算法,並以巴菲特價值投資理論為基礎,建立資料自動決定最佳股票分群規則機制,進而提升選擇預測策略的鑑別能力,以及萃取發掘有用的規則態樣。不僅可以區別優質成長明星股、經營不善之地雷股、獲利能力穩定股、經營能力較過去表現差股,有效增進股票投資報酬獲利能力。
    Relation: 2015高美第三屆學術與創新技術實務研討會論文集, 高美醫護管理專科學校, pp.1
    Data Type: conference
    Appears in Collections:[資訊管理學系] 會議論文

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