{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T02:53:53Z","timestamp":1776394433502,"version":"3.51.2"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319444024","type":"print"},{"value":"9783319444031","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-44403-1_5","type":"book-chapter","created":{"date-parts":[[2016,8,5]],"date-time":"2016-08-05T13:35:56Z","timestamp":1470404156000},"page":"71-87","source":"Crossref","is-referenced-by-count":15,"title":["More Efficient Algorithms for Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds"],"prefix":"10.1007","author":[{"given":"Wensheng","family":"Gan","sequence":"first","affiliation":[]},{"given":"Jerry Chun-Wei","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Philippe","family":"Fournier-Viger","sequence":"additional","affiliation":[]},{"given":"Han-Chieh","family":"Chao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,8,6]]},"reference":[{"key":"5_CR1","unstructured":"Frequent itemset mining dataset repository. http:\/\/fimi.ua.ac.be\/data\/"},{"issue":"6","key":"5_CR2","doi-asserted-by":"crossref","first-page":"914","DOI":"10.1109\/69.250074","volume":"5","author":"R Agrawal","year":"1993","unstructured":"Agrawal, R., Imielinski, T., Swami, A.: Database mining: a performance perspective. IEEE Trans. Knowl. Data Eng. 5(6), 914\u2013925 (1993)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"5_CR3","unstructured":"Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: The International Conference on Very Large Data Bases, pp. 487\u2013499 (1994)"},{"key":"5_CR4","unstructured":"Microsoft. Example database foodmart of Microsoft analysis services. http:\/\/www.Almaden.ibm.com\/cs\/quest\/syndata.html"},{"issue":"12","key":"5_CR5","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.1109\/TKDE.2009.46","volume":"21","author":"CF Ahmed","year":"2009","unstructured":"Ahmed, C.F., Tanbeer, S.K., Jeong, B.S., Le, Y.K.: Efficient tree structures for high utility pattern mining in incremental databases. IEEE Trans. Knowl. Data Eng. 21(12), 1708\u20131721 (2009)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Chan, R., Yang, Q., Shen, Y.D.: Mining high utility itemsets. In: The International Conference on Data Mining, pp. 19\u201326 (2003)","DOI":"10.1109\/ICDM.2003.1250893"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Liu, B., Hsu, W., Ma, Y.: Mining association rules with multiple minimum supports. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 337\u2013341 (1999)","DOI":"10.1145\/312129.312274"},{"key":"5_CR8","series-title":"Lecture Notes in Computer Science","first-page":"83","volume-title":"Foundations of Intelligent Systems","author":"P Fournier-Viger","year":"2014","unstructured":"Fournier-Viger, P., Wu, C.-W., Zida, S., Tseng, V.S.: FHM: faster high-utility itemset mining using estimated utility co-occurrence pruning. In: Andreasen, T., Christiansen, H., Cubero, J.-C., Ra\u015b, Z.W. (eds.) ISMIS 2014. LNCS, vol. 8502, pp. 83\u201392. Springer, Heidelberg (2014)"},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Lin, J.C.W., Gan, W., Fournier-Viger, P., Hong, T.P.: Mining high-utility itemsets with multiple minimum utility thresholds. In: ACM International Conference on Computer Science & Software Engineering, pp. 9\u201317 (2015)","DOI":"10.1145\/2790798.2790807"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Liu, M., Qu, J.: Mining high utility itemsets without candidate generation. In: ACM International Conference on Information and Knowledge Management, pp. 55\u201364 (2012)","DOI":"10.1145\/2396761.2396773"},{"key":"5_CR11","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1007\/11430919_79","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"Y Liu","year":"2005","unstructured":"Liu, Y., Liao, W., Choudhary, A.K.: A two-phase algorithm for fast discovery of high utility itemsets. In: Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. LNCS (LNAI), vol. 3518, pp. 689\u2013695. Springer, Heidelberg (2005)"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Kiran, R.U., Reddy, P.K.: Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms. In: ACM International Conference on Extending Database Technology, pp. 11\u201320 (2011)","DOI":"10.1145\/1951365.1951370"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Tseng, V.S., Wu, C.W., Shie, B.E., Yu, P.S.: UP-growth: an efficient algorithm for high utility itemset mining. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 253\u2013262 (2010)","DOI":"10.1145\/1835804.1835839"},{"issue":"8","key":"5_CR14","doi-asserted-by":"crossref","first-page":"1772","DOI":"10.1109\/TKDE.2012.59","volume":"25","author":"VS Tseng","year":"2013","unstructured":"Tseng, V.S., Shie, B.E., Wu, C.W., Yu, P.S.: Efficient algorithms for mining high utility itemsets from transactional databases. IEEE Trans. Knowl. Data Eng. 25(8), 1772\u20131786 (2013)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"5_CR15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.dss.2004.09.007","volume":"42","author":"YH Hu","year":"2006","unstructured":"Hu, Y.H., Chen, Y.L.: Mining association rules with multiple minimum supports: a new mining algorithm and a support tuning mechanism. Decis. Support Syst. 42(1), 1\u201324 (2006)","journal-title":"Decis. Support Syst."},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Yao, H., Hamilton, J., Butz, C.J.: A foundational approach to mining itemset utilities from databases. In: SIAM International Conference on Data Mining, pp. 211\u2013225 (2004)","DOI":"10.1137\/1.9781611972740.51"}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-44403-1_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T15:21:21Z","timestamp":1749050481000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-44403-1_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319444024","9783319444031"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-44403-1_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}