Search (55 results, page 2 of 3)

  • × year_i:[2010 TO 2020}
  1. Qiu, X.Y.; Srinivasan, P.; Hu, Y.: Supervised learning models to predict firm performance with annual reports : an empirical study (2014) 6.52
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    Theme
    Data Mining
  2. Wei, C.-P.; Lee, Y.-H.; Chiang, Y.-S.; Chen, C.-T.; Yang, C.C.C.: Exploiting temporal characteristics of features for effectively discovering event episodes from news corpora (2014) 6.52
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    Theme
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  3. Zhang, Z.; Li, Q.; Zeng, D.; Ga, H.: Extracting evolutionary communities in community question answering (2014) 6.52
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    Theme
    Data Mining
  4. Sarnikar, S.; Zhang, Z.; Zhao, J.L.: Query-performance prediction for effective query routing in domain-specific repositories (2014) 6.52
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    Theme
    Data Mining
  5. Blake, C.: Text mining (2011) 6.52
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    Theme
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  6. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 6.52
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    Theme
    Data Mining
  7. Frické, M.: Big data and its epistemology (2015) 6.52
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    Theme
    Data Mining
  8. Ekbia, H.; Mattioli, M.; Kouper, I.; Arave, G.; Ghazinejad, A.; Bowman, T.; Suri, V.R.; Tsou, A.; Weingart, S.; Sugimoto, C.R.: Big data, bigger dilemmas : a critical review (2015) 6.52
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    Theme
    Data Mining
  9. Kong, S.; Ye, F.; Feng, L.; Zhao, Z.: Towards the prediction problems of bursting hashtags on Twitter (2015) 6.52
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    Theme
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  10. Li, D.; Tang, J.; Ding, Y.; Shuai, X.; Chambers, T.; Sun, G.; Luo, Z.; Zhang, J.: Topic-level opinion influence model (TOIM) : an investigation using tencent microblogging (2015) 6.52
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    Theme
    Data Mining
  11. Bella, A. La; Fronzetti Colladon, A.; Battistoni, E.; Castellan, S.; Francucci, M.: Assessing perceived organizational leadership styles through twitter text mining (2018) 6.52
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    Theme
    Data Mining
  12. Bauckhage, C.: Moderne Textanalyse : neues Wissen für intelligente Lösungen (2016) 6.52
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    Theme
    Data Mining
  13. Song, J.; Huang, Y.; Qi, X.; Li, Y.; Li, F.; Fu, K.; Huang, T.: Discovering hierarchical topic evolution in time-stamped documents (2016) 6.52
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    Theme
    Data Mining
  14. Teich, E.; Degaetano-Ortlieb, S.; Fankhauser, P.; Kermes, H.; Lapshinova-Koltunski, E.: ¬The linguistic construal of disciplinarity : a data-mining approach using register features (2016) 6.52
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    Theme
    Data Mining
  15. Tu, Y.-N.; Hsu, S.-L.: Constructing conceptual trajectory maps to trace the development of research fields (2016) 6.52
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    Theme
    Data Mining
  16. Carter, D.; Sholler, D.: Data science on the ground : hype, criticism, and everyday work (2016) 6.52
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    Theme
    Data Mining
  17. Kraker, P.; Kittel, C,; Enkhbayar, A.: Open Knowledge Maps : creating a visual interface to the world's scientific knowledge based on natural language processing (2016) 6.52
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    Theme
    Data Mining
  18. Varathan, K.D.; Giachanou, A.; Crestani, F.: Comparative opinion mining : a review (2017) 6.52
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    Theme
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  19. Ayadi, H.; Torjmen-Khemakhem, M.; Daoud, M.; Huang, J.X.; Jemaa, M.B.: Mining correlations between medically dependent features and image retrieval models for query classification (2017) 6.52
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    Theme
    Data Mining
  20. Gill, A.J.; Hinrichs-Krapels, S.; Blanke, T.; Grant, J.; Hedges, M.; Tanner, S.: Insight workflow : systematically combining human and computational methods to explore textual data (2017) 6.52
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    Theme
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