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【正文】 CATAR\doc\:執(zhí)行過程資料放置處 9 待分析資料的準(zhǔn)備 ? 待分析資料的界定 (最重要的步驟、第二有價值的部分 ) –關(guān)鍵詞搜尋的結(jié)果 –核心期刊的論文 –綜合查詢的結(jié)果(期刊 +關(guān)鍵詞 +年代限制) –一篇篇專家確認(rèn)過的文獻(xiàn) ? WoK資料的搜尋 –搜尋技巧與資料下載 ? 參考: 10 ISI WoS Publication Record FN ISI Export Format VR PT J AU Tseng, SC Tsai, CC AF Tseng, ShengChau Tsai, ChinChung TI Online peer assessment and the role of the peer feedback: A study of high school puter course SO COMPUTERS amp。 improving classroom teaching。 STUDENTS。 Education amp。 ID:論文描述詞, 例: WATER。 C1:作者所屬機構(gòu)之國家。 SC:論文所屬領(lǐng)域別 , 例: Environmental Sciences。DEducational Technology Research And Development) 9 422 SO=(International Journal of Science Education) 10 144 SO=(Research in Science Education) 11 143 SO=(Innovations in Education and Teaching International) 12 2,912 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 or 10 or 11 Document Type=(Article) Databases=SCIEXPANDED, SSCI, Aamp。 2 : ISI:000241690202020 : 2020:Toward generic title generation for clustered documents 6 : ISI:000272846500049 : 2020:Generic title labeling for clustered documents – 3 : ISI:000246869800006 : 2020:Text mining techniques for patent analysis ? 4 : ISI:000251991600006 : 2020:Patent surrogate extraction and evaluation in the context of patent mapping – 18 : 2 Docs. : (education: , content analysi: , content: , media: ) ? 7 : ISI:000277110400017 : 2020:Mining concept maps from news stories for measuring civic scientific literacy in media ? 8 : ISI:000279714800001 : 2020:Trends of Science Education Research: An Automatic Content Analysis ? 2(3): 15 : 3 Docs. : (neural work: , quadratic: , sort: , perceptron: ) – 2 : 2 Docs. : (quadratic: , sort: , perceptron: , winnertakeall: , constanttime: ) ? 13 : ISI:A1995QT09700011 : 1995:ON A CONSTANTTIME, LOWCOMPLEXITY WINNERTAKEALL NEURALNETWORK ? 9 : ISI:A1992HU15600007 : 1992:SOLVING SORTING AND RELATED PROBLEMS BY QUADRATIC PERCEPTRONS – 10 : ISI:A1992HY58100028 : 1992:CONSTRUCTING ASSOCIATIVE MEMORIES USING HIGHORDER NEURAL NETWORKS ? 3(2): 14 : 2 Docs. : (automatic: , chinese: , text: , thesauru: ) – 0 : ISI:000167255500002 : 2020:Automatic cataloguing and searching for retrospective data by use of OCR text – 1 : ISI:000178776600007 : 2020:Automatic thesaurus generation for Chinese documents ? 4(2): 3 : 2 Docs. : (code: , decoder: , fast: , reedmuller: ) – 11 : ISI:A1993MA58300001 : 1993:DECODING REEDMULLER CODES BY MULTILAYER PERCEPTRONS – 12 : ISI:A1993MA58300002 : 1993:FAST NEURAL DECODERS FOR SOME CYCLIC CODES ? 5(1): 36 : 1 Docs. : 0 (hot: , detect: , parison: , topic: , scientometric: ) ? 5 : ISI:000270841800006 : 2020:A parison of methods for detecting hot topics 33 合理度: 100% 門檻 = 分析範(fàn)例 曾元顯著作 書目對 (第二階 ) ? 1(2): 1 : 5 Docs. : (neural: , perceptron: , code: , decoder: , work: ) – 1 : 15 : 3 Docs. : (neural work: , quadratic: , sort: , perceptron: ) – 3 : 3 : 2 Docs. : (code: , decoder: , fast: , reedmuller: ) ? 2(2): 2 : 8 Docs. : (automatic: , document: , text: , generation: , cluster: ) – 0 : 34 : 6 Docs. : (cluster: , map: , min: , text: ) – 2 : 14 : 2 Docs. : (automatic: , chinese: , text: , thesauru: ) ? 3(1): 4 : 1 Docs. : 0 (hot: , detect: , parison: , topic: , scientometric: ) – 4 : 36 : 1 Docs. : 0(hot: , detect: , parison: , topic: , scientometric: ) 34 合理度: 100% 門檻 = 第一階的 類別 編號 與篇數(shù) 分析範(fàn)例 曾元顯著作 書目對 (第二階 ) 35 分析範(fàn)例 曾元顯著作 共現(xiàn)字 ? 1(5): 29 : 5 Docs. : (term: , document: , algorithm: ) – 7 : 3 Docs. : (document: , generic: , cluster: , term: , algorithm: ) ? 2 : 2 Docs. : (cluster: , generic: , label: , title: , document: ) – 2 : ISI:000272846500049 : 2020:Generic title labeling for clustered documents – 6 : ISI:000241690202020 : 2020:Toward generic title generation for clustered documents ? 7 : ISI:000178776600007 : 2020:Automatic thesaurus generation for Chinese documents – 3 : 2 Docs. : (map: , patent: , term: , scientific: , new: ) ? 1 : ISI:000277110400017 : 2020:Mining concept maps from news stories for measuring civic scientific literacy in media ? 4 : ISI:000251991600006 : 2020:Patent surrogate extraction and evaluation in the context of patent mapping ? 2(3): 19 : 3 Docs. : (automatic: , text: , analysi: , approach: , topic: ) – 4 : 2
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