Search (46 results, page 2 of 3)

  • × theme_ss:"Data Mining"
  • × year_i:[2010 TO 2020}
  1. Miao, Q.; Li, Q.; Zeng, D.: Fine-grained opinion mining by integrating multiple review sources (2010) 0.00 
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    Journal of the American Society for Information Science and Technology. 61(2010) no.11, S.2288-2299
  2. Huvila, I.: Mining qualitative data on human information behaviour from the Web (2010) 0.00 
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    Pages
    S.322-326
  3. Maaten, L. van den: Accelerating t-SNE using Tree-Based Algorithms (2014) 0.00 
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    Journal of machine learning research. 15(2014), S.3221-3245
  4. Short, M.: Text mining and subject analysis for fiction; or, using machine learning and information extraction to assign subject headings to dime novels (2019) 0.00 
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    Source
    Cataloging and classification quarterly. 57(2019) no.5, S.315-336
  5. Thelwall, M.; Wilkinson, D.: Public dialogs in social network sites : What is their purpose? (2010) 0.00 
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    Journal of the American Society for Information Science and Technology. 61(2010) no.2, S.392-404
  6. Leydesdorff, L.; Persson, O.: Mapping the geography of science : distribution patterns and networks of relations among cities and institutes (2010) 0.00 
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    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1622-1634
  7. Berry, M.W.; Esau, R.; Kiefer, B.: ¬The use of text mining techniques in electronic discovery for legal matters (2012) 0.00 
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    Pages
    S.174-190
  8. Biskri, I.; Rompré, L.: Using association rules for query reformulation (2012) 0.00 
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    Pages
    S.291-303
  9. 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) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.2, S.280-290
  10. Sun, X.; Lin, H.: Topical community detection from mining user tagging behavior and interest (2013) 0.00 
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    Journal of the American Society for Information Science and Technology. 64(2013) no.2, S.321-333
  11. Qiu, X.Y.; Srinivasan, P.; Hu, Y.: Supervised learning models to predict firm performance with annual reports : an empirical study (2014) 0.00 
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    Journal of the Association for Information Science and Technology. 65(2014) no.2, S.400-413
  12. Frické, M.: Big data and its epistemology (2015) 0.00 
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    Journal of the Association for Information Science and Technology. 66(2015) no.4, S.651-661
  13. Song, J.; Huang, Y.; Qi, X.; Li, Y.; Li, F.; Fu, K.; Huang, T.: Discovering hierarchical topic evolution in time-stamped documents (2016) 0.00 
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    Journal of the Association for Information Science and Technology. 67(2016) no.4, S.915-927
  14. Carter, D.; Sholler, D.: Data science on the ground : hype, criticism, and everyday work (2016) 0.00 
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    Journal of the Association for Information Science and Technology. 67(2016) no.10, S.2309-2319
  15. Maaten, L. van den; Hinton, G.: Visualizing non-metric similarities in multiple maps (2012) 0.00 
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    Machine learning. 87(2012) no.1, S.33-55
  16. Drees, B.: Text und data mining : Herausforderungen und Möglichkeiten für Bibliotheken (2016) 0.00 
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    Perspektive Bibliothek. 5(2016) H.1, S.49-73
  17. Ebrahimi, M.; ShafieiBavani, E.; Wong, R.; Chen, F.: Twitter user geolocation by filtering of highly mentioned users (2018) 0.00 
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    Journal of the Association for Information Science and Technology. 69(2018) no.7, S.879-889
  18. Mining text data (2012) 0.00 
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    Pages
    XI, 522 S
    Type
    s
  19. Suakkaphong, N.; Zhang, Z.; Chen, H.: Disease named entity recognition using semisupervised learning and conditional random fields (2011) 0.00 
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    Journal of the American Society for Information Science and Technology. 62(2011) no.4, S.727-737
  20. Ma, Z.; Sun, A.; Cong, G.: On predicting the popularity of newly emerging hashtags in Twitter (2013) 0.00 
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    Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1399-1410

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