{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:50:39Z","timestamp":1740099039548,"version":"3.37.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319759272"},{"type":"electronic","value":"9783319759289"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-75928-9_55","type":"book-chapter","created":{"date-parts":[[2018,2,23]],"date-time":"2018-02-23T02:14:14Z","timestamp":1519352054000},"page":"615-626","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Empirical Evaluation of Sequential Pattern Mining Algorithms"],"prefix":"10.1007","author":[{"given":"Marjana Prifti","family":"Skenduli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Corrado","family":"Loglisci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michelangelo","family":"Ceci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marenglen","family":"Biba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donato","family":"Malerba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,2,24]]},"reference":[{"key":"55_CR1","doi-asserted-by":"crossref","unstructured":"Ayres, J., Flannick, J., Gehrke, J., Yiu, T.: Sequential pattern mining using a bitmap representation. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2002, New York, NY, USA, pp. 429\u2013435. ACM (2002)","DOI":"10.1145\/775047.775109"},{"issue":"2","key":"55_CR2","first-page":"303","volume":"21","author":"Y Cheng","year":"2017","unstructured":"Cheng, Y., Lin, Y., Chiang, K., Tseng, V.S.: Mining sequential risk patterns from large-scale clinical databases for early assessment of chronic diseases: a case study on chronic obstructive pulmonary disease. IEEE J. Biomed. Health Inform. 21(2), 303\u2013311 (2017)","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"55_CR3","doi-asserted-by":"crossref","unstructured":"Fournier-Viger, P., Gomariz, A., Campos, M., Thomas, R.: Fast vertical mining of sequential patterns using co-occurrence information. In: Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Proceedings, Part I, Tainan, Taiwan, 13\u201316 May 2014, pp. 40\u201352 (2014)","DOI":"10.1007\/978-3-319-06608-0_4"},{"issue":"1","key":"55_CR4","first-page":"54","volume":"1","author":"P Fournier-Viger","year":"2017","unstructured":"Fournier-Viger, P., Lin, J.C.-W., Kiran, R.U., Koh, Y.S.: A survey of sequential pattern mining. Data Sci. Pattern Recognit. 1(1), 54\u201377 (2017)","journal-title":"Data Sci. Pattern Recognit."},{"issue":"2","key":"55_CR5","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1007\/s10115-015-0884-x","volume":"48","author":"F Fumarola","year":"2016","unstructured":"Fumarola, F., Lanotte, P.F., Ceci, M., Malerba, D.: Clofast: closed sequential pattern mining using sparse and vertical id-lists. Knowl. Inf. Syst. 48(2), 429\u2013463 (2016)","journal-title":"Knowl. Inf. Syst."},{"issue":"3","key":"55_CR6","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1007\/s10115-016-0977-1","volume":"51","author":"J Ge","year":"2017","unstructured":"Ge, J., Xia, Y., Wang, J., Nadungodage, C.H., Prabhakar, S.: Sequential pattern mining in databases with temporal uncertainty. Knowl. Inf. Syst. 51(3), 821\u2013850 (2017)","journal-title":"Knowl. Inf. Syst."},{"key":"55_CR7","doi-asserted-by":"crossref","unstructured":"Han, J., Pei, J., Mortazavi-Asl, B., Chen, Q., Dayal, U., Hsu, M.: Freespan: frequent pattern-projected sequential pattern mining. In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, MA, USA, 20\u201323 August 2000, pp. 355\u2013359 (2000)","DOI":"10.1145\/347090.347167"},{"key":"55_CR8","unstructured":"Loglisci, C.: Using interactions and dynamics for mining groups of moving objects from trajectory data. Int. J. Geograph. Inf. Sci. 1\u201333 (2017)"},{"key":"55_CR9","doi-asserted-by":"crossref","unstructured":"Loglisci, C., Ceci, M., Impedovo, A., Malerba, D.: Mining spatio-temporal patterns of periodic changes in climate data. In: New Frontiers in Mining Complex Patterns - 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, 19 September 2016, Revised Selected Papers, pp. 198\u2013212 (2016)","DOI":"10.1007\/978-3-319-61461-8_13"},{"key":"55_CR10","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.neucom.2014.08.079","volume":"150","author":"C Loglisci","year":"2015","unstructured":"Loglisci, C., Ceci, M., Malerba, D.: Relational mining for discovering changes in evolving networks. Neurocomputing 150, 265\u2013288 (2015)","journal-title":"Neurocomputing"},{"key":"55_CR11","doi-asserted-by":"crossref","unstructured":"Mabroukeh, N.R., Ezeife, C.I.: A taxonomy of sequential pattern mining algorithms. ACM Comput. Surv. 43(1), 3:1\u20133:41 (2010)","DOI":"10.1145\/1824795.1824798"},{"key":"55_CR12","doi-asserted-by":"crossref","unstructured":"Mooney, C., Roddick, J.F.: Sequential pattern mining - approaches and algorithms. ACM Comput. Surv. 45(2), 19:1\u201319:39 (2013)","DOI":"10.1145\/2431211.2431218"},{"issue":"11","key":"55_CR13","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., Dayal, U., Hsu, M.: 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":"55_CR14","doi-asserted-by":"crossref","unstructured":"Schweizer, D., Zehnder, M., Wache, H., Witschel, H.F., Zanatta, D., Rodriguez, M.: Using consumer behavior data to reduce energy consumption in smart homes: applying machine learning to save energy without lowering comfort of inhabitants. In: 14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, 9\u201311 December 2015, pp. 1123\u20131129 (2015)","DOI":"10.1109\/ICMLA.2015.62"},{"key":"55_CR15","doi-asserted-by":"crossref","unstructured":"Srikant, R., Agrawal, R.: Mining sequential patterns: generalizations and performance improvements. In: Apers, P.M.G., Bouzeghoub, M., Gardarin, G. (eds.) Advances in Database Technology - EDBT 1996, 5th International Conference on Extending Database Technology, Proceedings, Avignon, France, 25\u201329 March 1996, vol. 1057. Lecture Notes in Computer Science, pp. 3\u201317. Springer (1996)","DOI":"10.1007\/BFb0014140"},{"issue":"1","key":"55_CR16","first-page":"3389","volume":"15","author":"PF Viger","year":"2014","unstructured":"Viger, P.F., Gomariz, A., Gueniche, T., Soltani, A., Wu, C., Tseng, V.S.: SPMF: a java open-source pattern mining library. J. Mach. Learn. Res. 15(1), 3389\u20133393 (2014)","journal-title":"J. Mach. Learn. Res."},{"issue":"1\/2","key":"55_CR17","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\/2), 31\u201360 (2001)","journal-title":"Mach. Learn."},{"key":"55_CR18","doi-asserted-by":"crossref","unstructured":"Ziebarth, S., Chounta, I., Hoppe, H.U.: Resource access patterns in exam preparation activities. In: Design for Teaching and Learning in a Networked World - 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Proceedings, Toledo, Spain, 15\u201318 September 2015, pp. 497\u2013502 (2015)","DOI":"10.1007\/978-3-319-24258-3_46"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances in Internet, Data &amp; Web Technologies"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-75928-9_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T13:19:48Z","timestamp":1570799988000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-75928-9_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319759272","9783319759289"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-75928-9_55","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2018]]}}}