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一種基于MapReduce的知識(shí)聚類與統(tǒng)計(jì)機(jī)制

徐小龍 李永萍

徐小龍, 李永萍. 一種基于MapReduce的知識(shí)聚類與統(tǒng)計(jì)機(jī)制[J]. 電子與信息學(xué)報(bào), 2016, 38(1): 202-208. doi: 10.11999/JEIT150247
引用本文: 徐小龍, 李永萍. 一種基于MapReduce的知識(shí)聚類與統(tǒng)計(jì)機(jī)制[J]. 電子與信息學(xué)報(bào), 2016, 38(1): 202-208. doi: 10.11999/JEIT150247
XU Xiaolong, LI Yongping. Knowledge Clustering and Statistics Based on MapReduce[J]. Journal of Electronics & Information Technology, 2016, 38(1): 202-208. doi: 10.11999/JEIT150247
Citation: XU Xiaolong, LI Yongping. Knowledge Clustering and Statistics Based on MapReduce[J]. Journal of Electronics & Information Technology, 2016, 38(1): 202-208. doi: 10.11999/JEIT150247

一種基于MapReduce的知識(shí)聚類與統(tǒng)計(jì)機(jī)制

doi: 10.11999/JEIT150247
基金項(xiàng)目: 

國(guó)家自然科學(xué)基金(61202004, 61472192),教育部科技發(fā)展中心網(wǎng)絡(luò)時(shí)代的科技論文快速共享專項(xiàng)研究(2013116),江蘇省高校自然科學(xué)研究計(jì)劃(14KJB520014)

Knowledge Clustering and Statistics Based on MapReduce

Funds: 

The National Natural Science Foundation of China (61202004, 61472192), The Special Fund for Fast Sharing of Science Paper in Net Era by CSTD (2013116), The Natural Science Fund of Higher Education of Jiangsu Province (14KJB520014)

  • 摘要: 網(wǎng)絡(luò)文獻(xiàn)知識(shí)庫(kù)中的海量資源及其分類的粗粒度,導(dǎo)致學(xué)習(xí)者容易在文獻(xiàn)檢索和閱讀過(guò)程出現(xiàn)認(rèn)知迷航和知識(shí)過(guò)載問(wèn)題。該文提出一種基于MapReduce的知識(shí)聚類與統(tǒng)計(jì)機(jī)制:首先,提出基于MapReduce的共現(xiàn)矩陣構(gòu)建算法MR-CoMatrix;其次,將共現(xiàn)矩陣與相似度系數(shù)結(jié)合構(gòu)建相似度矩陣;然后,通過(guò)Z Scores對(duì)相似度矩陣進(jìn)行標(biāo)準(zhǔn)化;最后,使用離差平方和法(Ward,s method)對(duì)相似度矩陣進(jìn)行聚類,生成樹狀的知識(shí)聚類譜系圖;基于聚類結(jié)果,提出基于MapReduce的知識(shí)文獻(xiàn)統(tǒng)計(jì)算法MR-Statistics,對(duì)每個(gè)分類的知識(shí)屬性進(jìn)行統(tǒng)計(jì)。實(shí)驗(yàn)結(jié)果表明:將MR-CoMatrix和MR-Statistics方法應(yīng)用于網(wǎng)絡(luò)文獻(xiàn)知識(shí)庫(kù)進(jìn)行知識(shí)聚類和統(tǒng)計(jì),達(dá)到較理想的聚類精度和計(jì)算效率,實(shí)現(xiàn)了細(xì)粒度知識(shí)聚類和多維統(tǒng)計(jì),同時(shí)減少了時(shí)間開銷。
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出版歷程
  • 收稿日期:  2015-02-12
  • 修回日期:  2015-10-08
  • 刊出日期:  2016-01-19

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