中华医学图书情报杂志
中華醫學圖書情報雜誌
중화의학도서정보잡지
Chinese Journal of Medical Library and Information Science
2015年
10期
48-53
,共6页
研究前沿%共词聚类%科学基金%滑动时间窗%可视化分析
研究前沿%共詞聚類%科學基金%滑動時間窗%可視化分析
연구전연%공사취류%과학기금%활동시간창%가시화분석
Research front%Co-words clustering%Scientific fund%Sliding window%Visual anlysis
总结了前人探测研究前沿的研究方法及其存在的问题,提出了滑动时间窗视角下基于科学基金的前沿探测方法,并在选取最优聚类算法的基础上,以肿瘤学为例探测其研究前沿,结果表明Agglomerative的聚类效果最优,对4个滑动时间窗内的数据进行共词聚类分析,探测其研究前沿并分析其演化规律.
總結瞭前人探測研究前沿的研究方法及其存在的問題,提齣瞭滑動時間窗視角下基于科學基金的前沿探測方法,併在選取最優聚類算法的基礎上,以腫瘤學為例探測其研究前沿,結果錶明Agglomerative的聚類效果最優,對4箇滑動時間窗內的數據進行共詞聚類分析,探測其研究前沿併分析其縯化規律.
총결료전인탐측연구전연적연구방법급기존재적문제,제출료활동시간창시각하기우과학기금적전연탐측방법,병재선취최우취류산법적기출상,이종류학위례탐측기연구전연,결과표명Agglomerative적취류효과최우,대4개활동시간창내적수거진행공사취류분석,탐측기연구전연병분석기연화규률.
After a description of the previous methods used in detecting research fronts and their problems, the methods to detect scientific funds-supported research fronts using sliding window were proposed .The research fronts in oncology were detected using the optimal clustering algorithms, which showed that the clustering effect of agglomerative algorithm was excellent on research fronts in oncology .The data in 4 sliding windows were analyzed by co-words clustering analysis to reveal the research fronts and their evolution rules in oncology .
