Abstract
Thousands of research papers on rough set theory and its applications have been published since Pawlak’s seminal work Rough Sets in 1982. A large number of rough sets papers were published in proceedings of conferences such as the International Conference on Rough Sets and Current Trends in Computing (RSCTC); International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC); International Conference on Rough Sets and Knowledge Technology (RSKT); International Conference on Rough Sets and Intelligent Systems Paradigms (RSEISP); and more recently, merged International Joint Conference on Rough Sets (IJCRS). The aim of this paper is to analyse the influences and impact of rough set conference papers using Scientometrics approaches based on the information obtained from Web of Science. The results suggest that rough set conference papers have an impact in research which is similar to other computer science domains.
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References
Bazan, J.G., Szczuka, M.S., Wróblewski, J.: A new version of rough set exploration system. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol. 2475, pp. 397–404. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45813-1_52
Błaszczyński, J., Deckert, M., Stefanowski, J., Wilk, S.: Integrating selective pre-processing of imbalanced data with Ivotes ensemble. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds.) RSCTC 2010. LNCS (LNAI), vol. 6086, pp. 148–157. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13529-3_17
Cornelis, C., De Cock, M., Radzikowska, A.M.: Vaguely quantified rough sets. In: An, A., Stefanowski, J., Ramanna, S., Butz, C.J., Pedrycz, W., Wang, G. (eds.) RSFDGrC 2007. LNCS (LNAI), vol. 4482, pp. 87–94. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-72530-5_10
Greco, S., Matarazzo, B., Słowinski, R.: Handling missing values in rough set analysis of multi-attribute and multi-criteria decision problems. In: Zhong, N., Skowron, A., Ohsuga, S. (eds.) RSFDGrC 1999. LNCS (LNAI), vol. 1711, pp. 146–157. Springer, Heidelberg (1999). https://doi.org/10.1007/978-3-540-48061-7_19
Greco, S., Matarazzo, B., Słowiński, R.: Rough membership and Bayesian confirmation measures for parameterized rough sets. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 314–324. Springer, Heidelberg (2005). https://doi.org/10.1007/11548669_33
Grzymała-Busse, J.W.: Characteristic relations for incomplete data: a generalization of the indiscernibility relation. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 244–253. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-25929-9_29
Herbert, J.P., Yao, J.T.: Game-theoretic risk analysis in decision-theoretic rough sets. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds.) RSKT 2008. LNCS (LNAI), vol. 5009, pp. 132–139. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-79721-0_22
Hu, F., Wang, G.Y., Huang, H., Wu, Y.: Incremental attribute reduction based on elementary sets. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 185–193. Springer, Heidelberg (2005). https://doi.org/10.1007/11548669_20
Janowski, A., Nowak, A., Przyborski, M., Szulwic, J.: Mobile indicators in GIS and GPS positioning accuracy in cities. In: Kryszkiewicz, M., Cornelis, C., Ciucci, D., Medina-Moreno, J., Motoda, H., Raś, Z.W. (eds.) RSEISP 2014. LNCS (LNAI), vol. 8537, pp. 309–318. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-08729-0_31
Lai, K.K., Yu, L., Zhou, L., Wang, S.: Credit risk evaluation with least square support vector machine. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 490–495. Springer, Heidelberg (2006). https://doi.org/10.1007/11795131_71
Li, D., Deogun, J., Spaulding, W., Shuart, B.: Towards missing data imputation: a study of fuzzy k-means clustering method. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 573–579. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-25929-9_70
Lin, T.Y.: Granular computing. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 16–24. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-39205-X_3
Maji, P.K.: More on intuitionistic fuzzy soft sets. In: Sakai, H., Chakraborty, M.K., Hassanien, A.E., Ślęzak, D., Zhu, W. (eds.) RSFDGrC 2009. LNCS (LNAI), vol. 5908, pp. 231–240. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10646-0_28
Napierała, K., Stefanowski, J., Wilk, S.: Learning from imbalanced data in presence of noisy and borderline examples. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds.) RSCTC 2010. LNCS (LNAI), vol. 6086, pp. 158–167. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13529-3_18
Nguyen, H.S., Ślęzak, D.: Approximate reducts and association rules. In: Zhong, N., Skowron, A., Ohsuga, S. (eds.) RSFDGrC 1999. LNCS (LNAI), vol. 1711, pp. 137–145. Springer, Heidelberg (1999). https://doi.org/10.1007/978-3-540-48061-7_18
Qian, Y.H., Liang, J.: Combination entropy and combination granulation in incomplete information system. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 184–190. Springer, Heidelberg (2006). https://doi.org/10.1007/11795131_27
Qin, K.Y., Gao, Y., Pei, Z.: On covering rough sets. In: Yao, J.T., Lingras, P., Wu, W.-Z., Szczuka, M., Cercone, N.J., Ślęzak, D. (eds.) RSKT 2007. LNCS (LNAI), vol. 4481, pp. 34–41. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-72458-2_4
Samanta, P., Chakraborty, M.K.: Covering based approaches to rough sets and implication lattices. In: Sakai, H., Chakraborty, M.K., Hassanien, A.E., Ślęzak, D., Zhu, W. (eds.) RSFDGrC 2009. LNCS (LNAI), vol. 5908, pp. 127–134. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10646-0_15
Słowiński, R., Greco, S., Matarazzo, B.: Rough set analysis of preference-ordered data. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol. 2475, pp. 44–59. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45813-1_6
Small, H.: Tracking and predicting growth areas in science. Scientometrics 68(3), 595–610 (2006)
Stateczny, A., Wlodarczyk-Sielicka, M.: Self-organizing artificial neural networks into hydrographic big data reduction process. In: Kryszkiewicz, M., Cornelis, C., Ciucci, D., Medina-Moreno, J., Motoda, H., Raś, Z.W. (eds.) RSEISP 2014. LNCS (LNAI), vol. 8537, pp. 335–342. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-08729-0_34
Stefanowski, J., Tsoukiàs, A.: On the extension of rough sets under incomplete information. In: Zhong, N., Skowron, A., Ohsuga, S. (eds.) RSFDGrC 1999. LNCS (LNAI), vol. 1711, pp. 73–81. Springer, Heidelberg (1999). https://doi.org/10.1007/978-3-540-48061-7_11
Sun, Q.-M., Zhang, Z.-L., Liu, J.: Soft sets and soft modules. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds.) RSKT 2008. LNCS (LNAI), vol. 5009, pp. 403–409. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-79721-0_56
Vrettas, G., Sanderson, M.: Conferences versus journals in computer science. J. Assoc. Inf. Sci. Technol. 6(12), 2674–2684 (2015)
Walters-Williams, J., Li, Y.: Estimation of mutual information: a survey. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds.) RSKT 2009. LNCS (LNAI), vol. 5589, pp. 389–396. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02962-2_49
Wang, S.: A new development on ANN in China — biomimetic pattern recognition and multi weight vector neurons. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 35–43. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-39205-X_5
Wei, W., Miao, D., Li, Y.: A bibliometric profile of research on rough sets. In: Mihálydeák, T., et al. (eds.) IJCRS 2019. LNAI, vol. 11499, pp. 534–548. Springer, Cham (2019)
Yao, J.T., Herbert, J.P.: Web-based support systems with rough set analysis. In: Kryszkiewicz, M., Peters, J.F., Rybinski, H., Skowron, A. (eds.) RSEISP 2007. LNCS (LNAI), vol. 4585, pp. 360–370. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-73451-2_38
Yao, J.T., Onasanya, A.: Recent development of rough computing: a scientometrics view. In: Wang, G., Skowron, A., Yao, Y., Ślęzak, D., Polkowski, L. (eds.) Thriving Rough Sets. SCI, vol. 708, pp. 21–45. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-54966-8_3
Yao, J.T., Yao, Y.Y.: Induction of classification rules by granular computing. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol. 2475, pp. 331–338. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45813-1_43
Yao, J.T., Zhang, Y.: A scientometrics study of rough sets in three decades. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds.) RSKT 2013. LNCS (LNAI), vol. 8171, pp. 28–40. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41299-8_4
Yao, Y.Y.: Decision-theoretic rough set models. In: Yao, J.T., Lingras, P., Wu, W.-Z., Szczuka, M., Cercone, N.J., Ślęzak, D. (eds.) RSKT 2007. LNCS (LNAI), vol. 4481, pp. 1–12. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-72458-2_1
Yao, Y.Y.: The art of granular computing. In: Kryszkiewicz, M., Peters, J.F., Rybinski, H., Skowron, A. (eds.) RSEISP 2007. LNCS (LNAI), vol. 4585, pp. 101–112. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-73451-2_12
Yao, Y.Y.: Three-way decision: an interpretation of rules in rough set theory. In: Wen, P., Li, Y.Y., Polkowski, L., Yao, Y.Y., Tsumoto, S., Wang, G. (eds.) RSKT 2009. LNCS (LNAI), vol. 5589, pp. 642–649. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02962-2_81
Yao, Y.Y.: Granular computing and sequential three-way decisions. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds.) RSKT 2013. LNCS (LNAI), vol. 8171, pp. 16–27. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41299-8_3
Yao, Y.Y., Zhao, Y., Wang, J.: On reduct construction algorithms. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y.Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 297–304. Springer, Heidelberg (2006). https://doi.org/10.1007/11795131_43
Yao, Y.Y., Zhou, B.: Naive Bayesian rough sets. In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds.) RSKT 2010. LNCS (LNAI), vol. 6401, pp. 719–726. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16248-0_97
Yao, Y.Y.: On generalizing rough set theory. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 44–51. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-39205-X_6
Zhang, L., Zhang, B.: The quotient space theory of problem solving. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 11–15. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-39205-X_2
Zhang, W.-X., Wei, L., Qi, J.-J.: Attribute reduction in concept lattice based on discernibility matrix. In: Ślęzak, D., Yao, J.T., Peters, J.F., Ziarko, W., Hu, X. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3642, pp. 157–165. Springer, Heidelberg (2005). https://doi.org/10.1007/11548706_17
Zhou, Z.-H., Tang, W.: Selective ensemble of decision trees. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 476–483. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-39205-X_81
Zhu, M., Wang, Y., Chen, S., Liu, X.: Sphere-structured support vector machines for multi-class pattern recognition. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 589–593. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-39205-X_95
Ziarko, W.: Probabilistic rough sets. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 283–293. Springer, Heidelberg (2005). https://doi.org/10.1007/11548669_30
Pawlak, Z.: Rough sets. Int. J. Parallel Prog. 11(5), 341–356 (1982)
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Yao, J. (2019). The Impact of Rough Set Conferences. In: Mihálydeák, T., et al. Rough Sets. IJCRS 2019. Lecture Notes in Computer Science(), vol 11499. Springer, Cham. https://doi.org/10.1007/978-3-030-22815-6_30
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