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  1. Kishida, K.: High-speed rough clustering for very large document collections (2010) 6.31
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  2. Liu, X.; Yu, S.; Janssens, F.; Glänzel, W.; Moreau, Y.; Moor, B.de: Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database (2010) 6.31
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  3. Golub, K.; Lykke, M.: Automated classification of web pages in hierarchical browsing (2009) 6.31
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  4. HaCohen-Kerner, Y.; Beck, H.; Yehudai, E.; Rosenstein, M.; Mughaz, D.: Cuisine : classification using stylistic feature sets and/or name-based feature sets (2010) 6.31
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  5. Fagni, T.; Sebastiani, F.: Selecting negative examples for hierarchical text classification: An experimental comparison (2010) 6.31
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  6. Golub, K.: Automated subject classification of textual documents in the context of Web-based hierarchical browsing (2011) 6.31
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  7. Cortez, E.; Herrera, M.R.; Silva, A.S. da; Moura, E.S. de; Neubert, M.: Lightweight methods for large-scale product categorization (2011) 6.31
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  8. Maghsoodi, N.; Homayounpour, M.M.: Improving Farsi multiclass text classification using a thesaurus and two-stage feature selection (2011) 6.31
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  9. Li, T.; Zhu, S.; Ogihara, M.: Hierarchical document classification using automatically generated hierarchy (2007) 6.31
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  10. Malo, P.; Sinha, A.; Wallenius, J.; Korhonen, P.: Concept-based document classification using Wikipedia and value function (2011) 6.31
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  11. Qu, B.; Cong, G.; Li, C.; Sun, A.; Chen, H.: ¬An evaluation of classification models for question topic categorization (2012) 6.31
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  12. Alberts, I.; Forest, D.: Email pragmatics and automatic classification : a study in the organizational context (2012) 6.31
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  13. Wartena, C.; Sommer, M.: Automatic classification of scientific records using the German Subject Heading Authority File (SWD) (2012) 6.31
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  14. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 6.31
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  15. Zhu, W.Z.; Allen, R.B.: Document clustering using the LSI subspace signature model (2013) 6.31
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  16. Ma, Z.; Sun, A.; Cong, G.: On predicting the popularity of newly emerging hashtags in Twitter (2013) 6.31
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  17. Schaalje, G.B.; Blades, N.J.; Funai, T.: ¬An open-set size-adjusted Bayesian classifier for authorship attribution (2013) 6.31
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  18. Barthel, S.; Tönnies, S.; Balke, W.-T.: Large-scale experiments for mathematical document classification (2013) 6.31
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  19. Sojka, P.; Lee, M.; Rehurek, R.; Hatlapatka, R.; Kucbel, M.; Bouche, T.; Goutorbe, C.; Anghelache, R.; Wojciechowski, K.: Toolset for entity and semantic associations : Final Release (2013) 6.31
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  20. Desale, S.K.; Kumbhar, R.: Research on automatic classification of documents in library environment : a literature review (2013) 6.31
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