{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:27:52Z","timestamp":1761863272728},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2014,1,30]],"date-time":"2014-01-30T00:00:00Z","timestamp":1391040000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Vietnam J Comput Sci"],"published-print":{"date-parts":[[2014,5]]},"DOI":"10.1007\/s40595-013-0012-3","type":"journal-article","created":{"date-parts":[[2014,1,29]],"date-time":"2014-01-29T20:04:14Z","timestamp":1391025854000},"page":"97-105","source":"Crossref","is-referenced-by-count":15,"title":["IMSR_PreTree: an improved algorithm for mining sequential rules based on the prefix-tree"],"prefix":"10.1007","volume":"1","author":[{"given":"Thien-Trang","family":"Van","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bay","family":"Vo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bac","family":"Le","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,1,30]]},"reference":[{"key":"12_CR1","unstructured":"Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of the 20th international conference very large data, bases, pp. 487\u2013499 (1994)"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Srikant, R.: Mining sequential patterns. In: Proceedings of the 11th international conference on data engineering, pp. 3\u201314. IEEE (1995)","DOI":"10.1109\/ICDE.1995.380415"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Ayres, J., Flannick, J., Gehrke, J., Yiu, T.: Sequential pattern mining using a bitmap representation. In: Proceedings of the 8th ACM SIGKDD international conference on knowledge discovery and data mining, pp. 429\u2013435. ACM (2002)","DOI":"10.1145\/775047.775109"},{"issue":"5","key":"12_CR4","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1016\/j.camwa.2006.12.086","volume":"55","author":"E Baralis","year":"2008","unstructured":"Baralis, E., Chiusano, S., Dutto, R.: Applying sequential rules to protein localization prediction. Comput. Math. Appl. 55(5), 867\u2013878 (2008)","journal-title":"Comput. Math. Appl."},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Vo, B., Hong, T.P., Le, B.: A lattice-based approach for mining most generalization association rules. Knowl. Based Syst. 45, 20\u201330 (2013)","DOI":"10.1016\/j.knosys.2013.02.003"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"El-Sayed, M., Ruiz, C., Rundensteiner, E.A.: FS-Miner: efficient and incremental mining of frequent sequence patterns in web logs. In: Proceedings of the 6th annual ACM international workshop on web information and data management, pp. 128\u2013135 (2004)","DOI":"10.1145\/1031453.1031477"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Ezeife, C.I., Lu, Y., Liu, Y.: PLWAP sequential mining: open source code. In: Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations, pp. 26\u201335 (2005)","DOI":"10.1145\/1133905.1133910"},{"issue":"1","key":"12_CR8","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.knosys.2011.07.005","volume":"25","author":"P Fournier-Viger","year":"2012","unstructured":"Fournier-Viger, P., Faghihi, U., Nkambou, R., Nguifo, E.M.: CMRules: mining sequential rules common to several sequences. Knowl. Based Syst. 25(1), 63\u201376 (2012)","journal-title":"Knowl. Based Syst."},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Fournier-Viger, P., Nkambou, R., Tseng, V.S.M.: RuleGrowth: mining sequential rules common to several sequences by pattern-growth. In: Proceedings of the 2011 ACM symposium on applied computing, pp. 956\u2013961 (2011)","DOI":"10.1145\/1982185.1982394"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Fournier-Viger, P., Wu, C.W., Tseng, V.S., Nkambou, R.: Mining sequential rules common to several sequences with the window size constraint. Adv. Artif. Intell. 299\u2013304 (2012)","DOI":"10.1007\/978-3-642-30353-1_27"},{"issue":"1","key":"12_CR11","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.jcss.2009.05.008","volume":"76","author":"K Gouda","year":"2010","unstructured":"Gouda, K., Hassaan, M., Zaki, M.J.: Prism: an effective approach for frequent sequence mining via prime-block encoding. J. Comput. Syst. Sci. 76(1), 88\u2013102 (2010)","journal-title":"J. Comput. Syst. Sci."},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Han, J., Pei, J., Mortazavi-Asl, B., Chen, Q., Dayal, U., Hsu, M.C. FreeSpan: frequent pattern-projected sequential pattern mining. In: Proceedings of the 6th ACM SIGKDD international conference on knowledge discovery and data mining, pp. 355\u2013359 (2000)","DOI":"10.1145\/347090.347167"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Lo, D., Khoo, S.-C., Liu, C.: Efficient mining of recurrent rules from a sequence database. In: DASFAA 2008, LNCS vol. 4947, pp. 67\u201383 (2008)","DOI":"10.1007\/978-3-540-78568-2_8"},{"issue":"4","key":"12_CR14","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.is.2009.01.002","volume":"34","author":"D Lo","year":"2009","unstructured":"Lo, D., Khoo, S.C., Wong, L.: Non-redundant sequential rules\u2014theory and algorithm. Inf. Syst. 34(4), 438\u2013453 (2009)","journal-title":"Inf. Syst."},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Masseglia, F., Cathala, F., Poncelet, P.: The PSP approach for mining sequential patterns. In: PKDD\u201998, Nantes, France, LNCS vol. 1510, pp. 176\u2013184 (1998)","DOI":"10.1007\/BFb0094818"},{"issue":"11","key":"12_CR16","doi-asserted-by":"crossref","first-page":"1424","DOI":"10.1109\/TKDE.2004.77","volume":"16","author":"J Pei","year":"2004","unstructured":"Pei, J., Han, J., Mortazavi-Asl, B., Wang, J., Pinto, H., Chen, Q., Hsu, M.C.: Mining sequential patterns by pattern-growth: the prefixspan approach. IEEE Trans. Knowl. Data Eng. 16(11), 1424\u20131440 (2004)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Pei, J., Han, J., Mortazavi-Asl, B., Zhu, H.: Mining access patterns efficiently from web logs. In: Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD\u201900), Kyoto, Japan, pp. 396\u2013407 (2000)","DOI":"10.1007\/3-540-45571-X_47"},{"key":"12_CR18","doi-asserted-by":"crossref","unstructured":"Spiliopoulou, M.: Managing interesting rules in sequence mining. In: Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery, Prague, Czech Republic, pp. 554\u2013560 (1999)","DOI":"10.1007\/978-3-540-48247-5_73"},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Srikant, R., Agrawal, R.: Mining sequential patterns: generalizations and performance improvements. In: Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology, Avignon, France, LNCS, pp. 3\u201317 (1996)","DOI":"10.1007\/BFb0014140"},{"key":"12_CR20","unstructured":"UCI Machine Learning Repository. http:\/\/www.ics.uci.edu\/mlearn\/MLRepository.html"},{"key":"12_CR21","doi-asserted-by":"crossref","unstructured":"Van, T.T., Vo, B., Le, B.: Mining sequential rules based on prefix-tree. In: Proceedings of the 3rd Asian Conference on Intelligent Information and Database Systems, Daegu, Korea, pp. 147\u2013156 (2011)","DOI":"10.1007\/978-3-642-19953-0_15"},{"issue":"1\u20132","key":"12_CR22","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1023\/A:1007652502315","volume":"42","author":"MJ Zaki","year":"2001","unstructured":"Zaki, M.J.: SPADE: an efficient algorithm for mining frequent sequences. Mach. Learn. 42(1\u20132), 31\u201360 (2001)","journal-title":"Mach. Learn."}],"container-title":["Vietnam Journal of Computer Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40595-013-0012-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s40595-013-0012-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40595-013-0012-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,22]],"date-time":"2017-06-22T06:53:34Z","timestamp":1498114414000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s40595-013-0012-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1,30]]},"references-count":22,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,5]]}},"alternative-id":["12"],"URL":"https:\/\/doi.org\/10.1007\/s40595-013-0012-3","relation":{},"ISSN":["2196-8888","2196-8896"],"issn-type":[{"value":"2196-8888","type":"print"},{"value":"2196-8896","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,1,30]]}}}