1. bookVolume 19 (2019): Edition 4 (November 2019)
Détails du magazine
License
Format
Magazine
eISSN
1314-4081
Première parution
13 Mar 2012
Périodicité
4 fois par an
Langues
Anglais
Accès libre

An Algorithm for Mining High Utility Sequential Patterns with Time Interval

Publié en ligne: 11 Dec 2019
Volume & Edition: Volume 19 (2019) - Edition 4 (November 2019)
Pages: 3 - 16
Reçu: 29 May 2019
Accepté: 26 Nov 2019
Détails du magazine
License
Format
Magazine
eISSN
1314-4081
Première parution
13 Mar 2012
Périodicité
4 fois par an
Langues
Anglais

1. Agrawal, R., R. Srikant. Mining Sequential Patterns. – In: Proc. of International Conferenceon Data Engineering (ICDE’95), 1995.Search in Google Scholar

2. Agrawal, R., R. Srikant. Mining Sequential Patterns: Generallizationsand Performance Improvements. – Lecture Notesin Computer Science, Vol. 1057, 1996, pp. 3-17.Search in Google Scholar

3. Pei, J., J. Han, B. M. Asi, H. Pino. PrefixSpan: Mining Sequential Patterns Efficientlyby Prefix-Projected Pattern Growth. – In: Proc. of Seventeenth International Conferenceon Data Engineering, 2001.Search in Google Scholar

4. Zaki, M. SPADE: An Efficient Algorithmfor Mining Frequent Sequences. – Machine Learning, Vol. 40, 2000, pp. 31-60.Search in Google Scholar

5. Ayres, J., J. Gehrke, T. Yiu, J. Flannick. Sequential Pattern Mining Using Bitmap Representation. –In: Proc. of ACM SIGKDD’02, 2002.10.1145/775047.775109Search in Google Scholar

6. Ahmed, C. F., S. K. Tanbeer, B. S. Jeong. A Novel Approachfor Mining Highutility Sequential Patternsin Sequence Databases. – ETRI Journal, 2010, pp. 676-686.10.4218/etrij.10.1510.0066Search in Google Scholar

7. Yin, J., Z. Zheng, L. Cao. USpan: An Efficient Algorithmfor Mining High Utility Sequential. – In: Proc. of 18th ACM SIGKDD International Conferenceon Knowledge, 2012.Search in Google Scholar

8. Lan, G. C., T. P. Hong, V. S. Tseng, S. L. Wang. Applyingthe Maximum Utility Measurein High Utility Sequential Pattern Mining. – Expert Syst. Appl., Vol. 41, 2014, No 11, pp. 5071-5081.10.1016/j.eswa.2014.02.022Search in Google Scholar

9. Truong-Chi, T., P. Fournier-Viger. A Surveyof High Utility Sequential Pattern Mining. – High-Utility Pattern Mining: Theory, Algorithmsand Applications, Vol. 51, P. Fournier-Viger, J. Lin, R. Nkambou, B. Vo, V. Tseng, Eds., Cham, Springer, 2019.10.1007/978-3-030-04921-8Search in Google Scholar

10. Alkan, O. K., P. Karagoz. CRoMand HuspExt: Improving Efficiencyof High Utility Sequential Pattern Extraction. – In: 32nd IEEE International Conferenceon Data Engineering (ICDE’16), Helsinki, 2016.Search in Google Scholar

11. Chen, Y.-L., T. C.-H. Huang. Discovering Time-Interval Sequential Patternsin Sequence Databases. – Expert Systemswith Applications, Vol. 25, 2003, No 3, pp. 343-354.10.1016/S0957-4174(03)00075-7Search in Google Scholar

12. Chen, Y.-L., M.-C. Chiang, M.-T. Ko. Discovering Fuzzy Time-Interval Sequential Patternsin Sequence Databases. – IEEE Transactionson Systems Manand Cybernetics, Vol. 35, 2005, No 5, pp. 959-972.10.1109/TSMCB.2005.847741Search in Google Scholar

13. Yu, H., H. Yamana. Generalized Sequential Pattern Miningwith Item. – Journalof Computers, Vol. 1, 2006, No 3, pp. 51-60.10.4304/jcp.1.3.51-60Search in Google Scholar

14. Demetrovics, J., V. D. Thi, T. H. Duong. An Algorithmto Mine Normalized Weighted Sequential Patterns Using Prefix-Projected Database. – Serdica Journalof Computing, Vol. 9, 2015, No 2, pp. 105-122.Search in Google Scholar

15. Demetrovics, J., H. M. Quang, V. D. Thi, N. V. Anh. An Efficient Methodto Reducethe Sizeof Consistent Decision Tables. – Acta Cybern., Vol. 23, 2018, No 4, pp. 1039-1054.10.14232/actacyb.23.4.2018.4Search in Google Scholar

16. Demetrovics, J., V. D. Thi, N. L. Giang. On Finding All Reductsof Consistent Decision Tables. –Cyberneticsand Information Technology, Vol. 14, 2014, No 4, pp. 3-10.10.1515/cait-2014-0001Search in Google Scholar

17. Demetrovics, J., N. T. L. Huong, V. D. Thi, N. L. Giang. Metric Based Attribute Reduction Methodin Dynamic Decision Tables. – Cyberneticsand Information Technologies, Vol. 16, 2016, No 2, pp. 3-15.10.1515/cait-2016-0016Search in Google Scholar

18. Cao, C. N., J. Demetrovics, N. L. Giang, V. D. Thi. Abouta Fuzzy Distancebetween Two Fuzzy Partitionsand Applicationin Attribute Reduction Problems. – Cyberneticsand Information Technologies, Vol. 16, 2016, No 4, pp. 13-28.10.1515/cait-2016-0064Search in Google Scholar

19. Demetrovics, J., H. M. Quang, N. V. Anh, V. D. Thi. An Optimizationof Closed Frequent Subgraph Mining Algorithm. – Cyberneticsand Information Technologies, Vol. 17, 2017, No 1, pp. 3-14.10.1515/cait-2017-0001Search in Google Scholar

Articles recommandés par Trend MD

Planifiez votre conférence à distance avec Sciendo