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Volumn 4, Issue 3, 2010, Pages 215-223

A visual mining system for theme development evolution analysis of scientific literature

Author keywords

Clustering; Dynamic; Literature; Text mining

Indexed keywords

DYNAMICS; MINING MACHINERY;

EID: 78651585586     PISSN: 19759339     EISSN: None     Source Type: Journal    
DOI: 10.4156/jdcta.vol4.issue3.21     Document Type: Article
Times cited : (4)

References (24)
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  • 2
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    • Tu, Y.1    Seng, J.2
  • 13
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    • An advanced partitioning approach of web page clustering utilizing content & link structure
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    • Using temporal information in topic detection
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  • 22
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    • Citespace II: Detecting and visualizing emerging trends and transient patterns in scientific literature
    • C. Chen, "Citespace II: detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Vol. 57, No. 3, 2006, pp. 359-377.
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    • Chen, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.