{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T04:19:06Z","timestamp":1777695546017,"version":"3.51.4"},"reference-count":28,"publisher":"SAGE Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IDA"],"published-print":{"date-parts":[[2017,4,1]]},"DOI":"10.3233\/ida-170874","type":"journal-article","created":{"date-parts":[[2017,4,7]],"date-time":"2017-04-07T11:42:21Z","timestamp":1491565341000},"page":"S103-S135","source":"Crossref","is-referenced-by-count":12,"title":["Efficiently mining high utility sequential patterns in static and streaming data"],"prefix":"10.1177","volume":"21","author":[{"given":"Morteza","family":"Zihayat","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, York University, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng-Wei","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National Chiao Tung University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aijun","family":"An","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, York University, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincent S.","family":"Tseng","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National Chiao Tung University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chien","family":"Lin","sequence":"additional","affiliation":[{"name":"Smart Network System Institute, Institute for Information Industry, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/IDA-170874_ref1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/ICDE.1995.380415","article-title":"Mining sequential patterns","author":"Agrawal","year":"1995","journal-title":"Proc. of the Eleventh International Conference on Data Engineering"},{"key":"10.3233\/IDA-170874_ref2","first-page":"676","article-title":"A novel approach for mining high-utility sequential patterns in sequence databases","volume":"32","author":"Ahmed","year":"2010","journal-title":"Electronics and Telecommunications Research Institute Journal"},{"key":"10.3233\/IDA-170874_ref3","doi-asserted-by":"crossref","first-page":"3","DOI":"10.4103\/0256-4602.74506","article-title":"A framework for mining high utility web access sequences","volume":"28","author":"Ahmed","year":"2011","journal-title":"IETE Technical Review"},{"key":"10.3233\/IDA-170874_ref4","doi-asserted-by":"crossref","first-page":"11979","DOI":"10.1016\/j.eswa.2012.03.062","article-title":"Interactive mining of high utility patterns over data streams","volume":"39","author":"Ahmed","year":"2012","journal-title":"Expert Systems With Applications"},{"key":"10.3233\/IDA-170874_ref5","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.1109\/TKDE.2009.46","article-title":"Efficient tree structures for high-utility pattern mining in incremental databases","volume":"21","author":"Ahmed","year":"2009","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.3233\/IDA-170874_ref6","first-page":"429","article-title":"Sequential pattern mining using a bitmap representation","author":"Ayres","year":"2002","journal-title":"Proc. of ACM SIGKDD Int'l Conference on Knowledge Discovery and Data Mining"},{"key":"10.3233\/IDA-170874_ref7","first-page":"546","article-title":"Speed: Mining maximal sequential patterns over data streams","author":"Rassi","year":"2006","journal-title":"Proc. of the IEEE Int'l Conference on Intelligent Systems"},{"key":"10.3233\/IDA-170874_ref8","first-page":"83","article-title":"Seqstream: Mining closed sequential patterns over stream sliding windows","author":"Chang","year":"2008","journal-title":"Proc. of the IEEE International Conference on Data Mining"},{"key":"10.3233\/IDA-170874_ref9","volume-title":"Mining Sequential Patterns across Data Streams","author":"Chen","year":"2005"},{"key":"10.3233\/IDA-170874_ref10","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1016\/j.jss.2007.07.026","article-title":"An efficient algorithm for mining temporal high utility itemsets from data streams","volume":"81","author":"Chu","year":"2008","journal-title":"Journal of Systems and Software"},{"key":"10.3233\/IDA-170874_ref11","first-page":"3389","article-title":"Spmf: A java open-source pattern mining library","volume":"15","author":"Fournier-Viger","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"10.3233\/IDA-170874_ref12","first-page":"83","volume-title":"FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning","author":"Fournier-Viger","year":"2014"},{"key":"10.3233\/IDA-170874_ref13","first-page":"355","article-title":"Freespan: Frequent pattern-projected sequential pattern mining","author":"Han","year":"2010","journal-title":"Proc.of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"},{"key":"10.3233\/IDA-170874_ref14","first-page":"677","article-title":"Incremental mining of sequential patterns over a stream sliding window","author":"Ho","year":"2006","journal-title":"Proc. of the ICDM Workshops"},{"key":"10.3233\/IDA-170874_ref15","first-page":"881","article-title":"Fast and memory efficient mining of high utility itemsets in data streams","author":"Li","year":"2008","journal-title":"Proc. of the 8th IEEE Int'l Conference on Data Mining"},{"key":"10.3233\/IDA-170874_ref16","first-page":"55","article-title":"Mining high utility itemsets without candidate generation","author":"Liu","year":"2012","journal-title":"Proc. of the 21st ACM international Conference on Information and Knowledge Management"},{"key":"10.3233\/IDA-170874_ref17","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1145\/1089827.1089839","article-title":"A fast high utility itemsets mining algorithm","author":"Liu","year":"2005","journal-title":"Proc. of the 1st International Workshop on Utility-Based Data Mining"},{"key":"10.3233\/IDA-170874_ref18","first-page":"355","article-title":"Mining sequential patterns from temporal streaming data","author":"Marascu","year":"2005","journal-title":"Prc. of the ECML\/PKDD Workshop on Mining Complex Data"},{"key":"10.3233\/IDA-170874_ref19","doi-asserted-by":"crossref","first-page":"1424","DOI":"10.1109\/TKDE.2004.77","article-title":"Mining sequential patterns by pattern-growth: The prefixspan approach","volume":"16","author":"Pei","year":"2004","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.3233\/IDA-170874_ref21","doi-asserted-by":"crossref","unstructured":"Shie B., Hsiao H. and Tseng V.S., Efficient algorithms for discovering high utility user behavior patterns in mobile commerce environments, Knowledge and Information Systems journal 37 (2013).","DOI":"10.1007\/s10115-012-0483-z"},{"key":"10.3233\/IDA-170874_ref22","doi-asserted-by":"crossref","first-page":"12947","DOI":"10.1016\/j.eswa.2012.05.035","article-title":"Efficient algorithms for mining maximal high utility itemsets from data streams with different models","volume":"39","author":"Shie","year":"2012","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-170874_ref23","first-page":"3","article-title":"Mining sequential patterns: Generalizations and performance improvements","author":"Srikant","year":"1996","journal-title":"Proc. of the Intelligent Conference on Extending Database Technology: Advances in Database Technology"},{"key":"10.3233\/IDA-170874_ref24","doi-asserted-by":"crossref","first-page":"1772","DOI":"10.1109\/TKDE.2012.59","article-title":"Efficient algorithms for mining high utility itemsets from transactional databases","volume":"25","author":"Tseng","year":"2013","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.3233\/IDA-170874_ref25","first-page":"996","article-title":"A fast algorithm for mining frequent closed itemsets over stream sliding window","author":"Yen","year":"2011","journal-title":"Proc. of the Int'l Conference on Fuzzy Systems"},{"key":"10.3233\/IDA-170874_ref26","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1145\/2339530.2339636","article-title":"Uspan: An efficient algorithm for mining high utility sequential patterns","author":"Yin","year":"2012","journal-title":"Proc. of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"},{"key":"10.3233\/IDA-170874_ref27","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1023\/A:1007652502315","article-title":"Spade: An efficient algorithm for mining frequent sequences","volume":"42","author":"Zaki","year":"2001","journal-title":"Machine Learning Journal"},{"key":"10.3233\/IDA-170874_ref28","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.ins.2014.01.045","article-title":"Mining top-k high utility patterns over data streams","volume":"285","author":"Zihayat","year":"2014","journal-title":"Information Sciences"},{"key":"10.3233\/IDA-170874_ref29","first-page":"52:1","article-title":"Mining high utility sequential patterns from evolving data streams","author":"Zihayat","year":"2015","journal-title":"Proc. of the ASE BigData & SocialInformatics 2015"}],"container-title":["Intelligent Data Analysis"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/IDA-170874","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:17:48Z","timestamp":1777454268000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/IDA-170874"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,1]]},"references-count":28,"URL":"https:\/\/doi.org\/10.3233\/ida-170874","relation":{},"ISSN":["1088-467X","1571-4128"],"issn-type":[{"value":"1088-467X","type":"print"},{"value":"1571-4128","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,1]]}}}