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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/55405


    Title: 數位家庭助理之研究與實作(III)
    Other Titles: Research and Implemantation of Digital Home Assistants(III)
    Authors: 陳良弼
    Contributors: 國立政治大學資訊科學系
    行政院國家科學委員會
    Keywords: 多媒體;音樂分類;高維度索引;股票資料分析;股票行為預測
    Multimedia;Music classification;High dimensional index method;Stock Data Analysis;Stock Behavior Prediction
    Date: 2007
    Issue Date: 2012-11-12 11:02:18 (UTC+8)
    Abstract: 隨著電腦科技的蓬勃發展以及多媒體應用與資料分析的技術逐漸成熟，越來越多的研究人員以及企業致力於數位家庭環境以及相關應用的研究與開發。而隨著多媒體技術與產品的普及，越來越多的多媒體資料出現在使用者周遭。因此，整合使用者周遭各式不同種類的多媒體資料，並輔以個人化的呈現是數位家庭環境下的一個重要應用。此外，由於在數位家庭環境下可以利用各式數位產品取得豐富的資訊，如何協助使用者整理分析資訊並提出適當的建議則是數位家庭環境下的另外一個重要的應用。本計畫的主旨，即在於研究多媒體的查詢與跨媒體整合技術，以及股票交易資料的分析與預測，進而提供使用者在數位家庭環境下的多媒體娛樂以及理財資訊支援。為此，我們研究並發展了數種多媒體處理技術。此外，我們也研究與分析了股票的交易資料的特性，開發出股票分析預測以及即時分析的技術，提供使用者進行股票交易之參考。
    As the advance of computer technologies and the mature development of multimedia and data analysis techniques, more and more researchers are developing the digital home environment and the corresponding applications. The major characteristic of the digital home environment is the popularization of the multimedia contents, such as digital photos and home videos. Therefore, how to manage and use this large amount of multimedia data becomes an important issue. Moreover, since the large amount of information will be obtained from the digital products located in the digital home environment, how to analyze the information for users and to provide appropriate recommendations for users is another important issue. The goals of this project are to develop the techniques of multimedia querying, cross media querying, stock transaction data analysis, and stock behavior prediction. For this purpose, we developed many kinds of multimedia and data analysis techniques. Moreover, we also developed a technique to predict the stock behavior by analyzing the stock transaction data.
    Relation: 應用研究
    學術補助
    研究期間:9608~ 9707
    研究經費:674仟元
    Data Type: report
    Appears in Collections:[資訊科學系] 國科會研究計畫

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