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  • × theme_ss:"Data Mining"
  1. Chen, Y.-L.; Liu, Y.-H.; Ho, W.-L.: ¬A text mining approach to assist the general public in the retrieval of legal documents (2013) 0.03
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  2. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 0.02
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
  3. Ku, L.-W.; Chen, H.-H.: Mining opinions from the Web : beyond relevance retrieval (2007) 0.02
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  4. Tu, Y.-N.; Hsu, S.-L.: Constructing conceptual trajectory maps to trace the development of research fields (2016) 0.02
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    Abstract
    This study proposes a new method to construct and trace the trajectory of conceptual development of a research field by combining main path analysis, citation analysis, and text-mining techniques. Main path analysis, a method used commonly to trace the most critical path in a citation network, helps describe the developmental trajectory of a research field. This study extends the main path analysis method and applies text-mining techniques in the new method, which reflects the trajectory of conceptual development in an academic research field more accurately than citation frequency, which represents only the articles examined. Articles can be merged based on similarity of concepts, and by merging concepts the history of a research field can be described more precisely. The new method was applied to the "h-index" and "text mining" fields. The precision, recall, and F-measures of the h-index were 0.738, 0.652, and 0.658 and those of text-mining were 0.501, 0.653, and 0.551, respectively. Last, this study not only establishes the conceptual trajectory map of a research field, but also recommends keywords that are more precise than those used currently by researchers. These precise keywords could enable researchers to gather related works more quickly than before.
  5. Jäger, L.: Von Big Data zu Big Brother (2018) 0.02
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    Date
    22. 1.2018 11:33:49
  6. Budzik, J.; Hammond, K.J.; Birnbaum, L.: Information access in context (2001) 0.02
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  7. Chowdhury, G.G.: Template mining for information extraction from digital documents (1999) 0.01
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    Date
    2. 4.2000 18:01:22
  8. KDD : techniques and applications (1998) 0.01
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    Footnote
    A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
  9. Methodologies for knowledge discovery and data mining : Third Pacific-Asia Conference, PAKDD'99, Beijing, China, April 26-28, 1999, Proceedings (1999) 0.01
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    Editor
    Zhou, L.
  10. Zhou, L.; Chaovalit, P.: Ontology-supported polarity mining (2008) 0.01
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  11. Kong, S.; Ye, F.; Feng, L.; Zhao, Z.: Towards the prediction problems of bursting hashtags on Twitter (2015) 0.01
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  12. Maaten, L. van den: Learning a parametric embedding by preserving local structure (2009) 0.01
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  13. Maaten, L. van den: Accelerating t-SNE using Tree-Based Algorithms (2014) 0.01
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  14. Matson, L.D.; Bonski, D.J.: Do digital libraries need librarians? (1997) 0.01
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    Date
    22.11.1998 18:57:22
  15. Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999) 0.01
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    Date
    17. 7.2002 19:22:06
  16. Amir, A.; Feldman, R.; Kashi, R.: ¬A new and versatile method for association generation (1997) 0.01
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    Source
    Information systems. 22(1997) nos.5/6, S.333-347
  17. Leydesdorff, L.; Persson, O.: Mapping the geography of science : distribution patterns and networks of relations among cities and institutes (2010) 0.01
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  18. Dang, X.H.; Ong. K.-L.: Knowledge discovery in data streams (2009) 0.01
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  19. Biskri, I.; Rompré, L.: Using association rules for query reformulation (2012) 0.01
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  20. Maaten, L. van den; Hinton, G.: Visualizing non-metric similarities in multiple maps (2012) 0.01
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