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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51543


    Title: Exploring Evolutionary Technical Trends From Academic Research Papers
    Authors: Fan,TK;Chang,CH
    Contributors: 資訊工程學系
    Date: 2010
    Issue Date: 2012-03-27 18:55:41 (UTC+8)
    Publisher: 國立中央大學
    Abstract: Technical terms are vital elements for understanding the techniques used in academic research papers, and in this paper, we use focused technical terms to explore technical trends in the research literature The major purpose of this work is to understand the relationship between techniques and research topics to better explore technical trends We define this new text issue and apply machine learning algorithms for solving this problem by (1) recognizing focused technical terms From research papers, (2) classifying these terms into predefined technology categories. (3) analyzing the evolution of technical trends The dataset consists of 656 papers collected From well-known conferences on ACM The experimental results indicate that our proposed methods can effectively explore interesting evolutionary technical trends in various research topics
    Relation: JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
    Appears in Collections:[資訊工程學系] 期刊論文

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