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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/84062

    Title: 資料探勘關聯規則應用於實體電子遊戲場營業資料之研究–以老虎機(Slot Machine)為例
    Authors: 林輝能;Lin, Hui-Nen
    Contributors: 資訊管理學系在職專班
    Keywords: 老虎機;電子遊戲場;資料探勘;關聯性規則;Slot Machines;Arcade Industry;Data Mining;Association Rules
    Date: 2020-07-10
    Issue Date: 2020-09-02 17:59:48 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 電子遊戲場業為了內部管理,及面對同業間的競爭,透過資訊化系統來導入會員制,己經是目前的趨勢。電子遊戲場業者希望透過資訊化系統的導入,除了降低業者的營運成本外,更可以讓業者擬定更好的促銷優惠活動、及更佳的遊戲款式配置,進而增加體整營業的績效。


    ;To facilitate efficient internal management and cope with horizontal competitions, it has been a trend for the amusement arcade industry to introduce membership systems using information management systems. The industry expects the introduction of information management systems not only to lower the costs, but also design better promotion plans and game models, thus creating better overall business performance.

    This research demonstrates a case study, which first shows how to use statistical methods and association rules in data mining to analyze information of players collected from slot machines and studies different consumer behaviors of members and potential members (non-members) in order to evaluate the effectiveness of existing promotion plans and the arrangements of slot machines of an amusement arcade.

    This research reveals that due to privacy concerns, potential members will not apply for the membership even though there are certain promotion benefits offered to members. Promotion plans that can eliminate potential members’ privacy concerns should be conducted. The research also concludes that members’ and potential members’ preferences for game models are very different. The preference differences have to be considered when arranging game models and developing new games for the slot machines.
    Appears in Collections:[資訊管理學系碩士在職專班 ] 博碩士論文

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