A novel tolerant skyline operation for decision making

Journal of Decision Systems

Volumn 22, Issue 3, 2013, Pages 151-167

  Chai, Junyi ^a   Liu, James N K ^a   Li, Anming ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Data analysis; Multicriteria decision making; Skyline operation

Indexed keywords

DATA REDUCTION; DECISION SUPPORT SYSTEMS;

DECISION MAKERS; DECISION SUPPORT SYSTEM (DSS); MULTI CRITERIA DECISION MAKING; REAL DATA SETS; SKYLINE OPERATION; SKYLINE QUERY; SYNTHETIC DATASETS;

DECISION MAKING;

EID: 84890157700     PISSN: 12460125     EISSN: 21167052     Source Type: Journal    
DOI: 10.1080/12460125.2013.797325     Document Type: Article

References (25)

1. Börzsönyi, S., Kossmann, D., & Stocker, K. (2001). The skyline operator. In Proceedings of International Conference on Data Engineering (ICDE) (pp. 421-432) IEEE.
2. Chai, J. Y., & Liu, J. N. K. (2012). Dominance-based decision rules induction for multicriteria ranking. International Journal of Machine Learning and Cybernetics, doi: 10. 1007/s13042-012-0105-9.
3. Chai, J. Y., Liu, J. N. K., & Ngai, E. W. T. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40 (10), 3872-3885.
4. Chai, J. Y., Liu, J. N. K., & Xu, Z. S. (2012). A new rule-based SIR approach to supplier selection under intuitionistic fuzzy environments. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, 20, 451-471.
5. Chai, J. Y., Liu, J. N. K., & Xu, Z. S. (2013b). A rule-based group decision model for warehouse evaluation under interval valued intuitionistic fuzzy environments. Expert Systems with Applications, 40, 1959-1970.
6. Chai, J. Y., Liu, J. N. K., Yiu M. L., Wang, H. W., & Li, A. M. (2013c). A novel dynamic skyline operation for multicriteria decision support. pp. 1183-1192, 46th Hawaii International Conference on System Sciences (HICSS), 2013, Maui, Hawaii, USA IEEE.
7. Chan, C. Y., Jagadish, H. V., Tan, K. L., Tung, A. K. H., & Zhang, Z. J. (2006). On high dimensional skylines, In Proceedings of International Conference on Extending Database Technology (EDBT) (pp. 478-495) ACM.
8. Chomicki, J., Godfrey, P., Gryz, J., & Liang, D. (2003). Skyline with presorting. In Proceedings of International Conference on Data Engineering (ICDE) (pp. 717-816) IEEE.
9. Dellis, E., & Seeger, B. (2007). Efficient computation of reverse skyline queries. In Proceedings of International Conference on Very Large Data Bases (VLDB) (pp. 291-302) ACM.
10. Godfrey, P., Shipley, R., & Gryz, J. (2005). Maximal vector computation in large data sets. In Proceedings of International Conference on Very Large Data Bases (VLDB) (pp. 229-240) ACM.
11. Hose, K., & Vlachou, A. (2011). A survey of skyline processing in highly distributed environments. The Very Large Data Bases Journal, 21, 359-384.
12. Jin, W., Han, J., & Ester, M. (2004). Mining thick skylines over large databases. In Proceedings of International Conference on Practice of Knowledge Discovery in Databases J.-F. Boulicaut et al. (Eds.): PKDD 2004, LNAI 3202, pp. 255-266, Springer-Verlag Berlin Heidelberg.
13. Koltun, V., & Papadimitriou, C. H. (2005). Approximately dominating representatives. In Proceedings of International Conference on Database Theory (ICDT) (pp. 204-214) ACM.
14. Kossmann, D., Ramsak, F., & Rost, S. (2002). Shooting stars in the sky: An online algorithm for skyline queries, In Proceedings of International Conference on Very Large Data Bases (VLDB) (pp. 275-286) ACM.
15. Lin, X., Yuan, Y., Zhang, Q., & Zhang, Y. (2007). Selecting stars: The k most representative skyline operator. In Proceedings of International Conference on Data Engineering (ICDE) (pp. 86-95) IEEE.
16. Lu, H., Jensen, C. S., & Zhang, Z. (2011). Flexible and efficient resolution of skyline query size constraints. IEEE Transactions on Knowledge and Data Engineering, 23, 991-1005.
17. Papadias, D., Tao, Y., Fu, G., & Seeger, B. (2003). An optimal and progressive algorithm for skyline queries. In Proceedings of International Conference on Management of Data (SIGMOD) (pp. 467-478) ACM.
18. Pei, J., Jin, W., Ester, M., & Tao, Y. (2005). Catching the best views of skyline: A semantic approach based on decisive subspaces. In Proceedings of International Conference on Very Large Data Bases (VLDB) (pp. 253-264) ACM.
19. Pei, J., Yuan, Y., Lin, X., Jin, N. W., Ester, M., Liu, Q., & Zhang, Q. (2006). Towards multidimensional subspace skyline analysis. ACM Transactions on Database Systems, 31, 1335-1381.
20. Sharifzadeh, M., & Shahabi, C. (2006), The spatial skyline queries. In Proceedings of International Conference on Very Large Data Bases (VLDB) (pp. 751-762) ACM.
21. Tao, Y., Ding, L., Lin, X., & Pei, J. (2009). Distance-based representative skyline. In Proceedings of International Conference on Data Engineering (ICDE) (pp. 892-903) IEEE.
22. Tao, Y., Xiao, K., & Pei, J. (2006). SUBSKY: Efficient computation of skylines in subspaces. In Proceedings of International Conference on Data Engineering (ICDE) IEEE.
23. Wu, P., Zhang, C., Feng, Y., Zhao, B., Agrawal, D., & Abbadi, A. (2006). Parallelizing skyline queries for scalable distribution, In Proceedings of International Conference on Extending Database Technology (EDBT) (pp. 112-130) ACM.
24. Xia, T., Zhang, D., & Tao, Y. (2008). On skyline with flexible dominance relation. In Proceedings of International Conference on Data Engineering (ICDE) (pp. 1397-1399) IEEE.
25. Yiu, M. L., & Mamoulis, M. (2009). Multi-dimensional top-k dominating queries. The Very Large Data Bases Journal, 18, 695-718.