{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T04:14:04Z","timestamp":1751602444800,"version":"3.41.0"},"reference-count":53,"publisher":"Elsevier","isbn-type":[{"type":"print","value":"9780128114322"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1016\/b978-0-12-809633-8.20333-6","type":"book-chapter","created":{"date-parts":[[2018,4,23]],"date-time":"2018-04-23T04:22:20Z","timestamp":1524457340000},"page":"367-373","source":"Crossref","is-referenced-by-count":1,"title":["Association Rules and Frequent Patterns"],"prefix":"10.1016","author":[{"given":"Giuseppe","family":"Di Fatta","sequence":"first","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib1","series-title":"String Mining in Bioinformatics","first-page":"207","author":"Abouelhoda","year":"2010"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib2","doi-asserted-by":"crossref","unstructured":"Adedoyin-Olowe, M., Gaber, M.M., Stahl, F., 2013. TRCM: A methodology for temporal analysis of evolving concepts in twitter. In: Proceedings of 12th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2013, Part II, pp. 135\u2013145. Zakopane, Poland: Springer.","DOI":"10.1007\/978-3-642-38610-7_13"},{"year":"2014","series-title":"Frequent Pattern Mining","author":"Aggarwal","key":"10.1016\/B978-0-12-809633-8.20333-6_bib3"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib4","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Imieli\u0144ski, T., Swami, A., 1993. Mining association rules between sets of items in large databases. In: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, SIGMOD \u05f393, pp. 207\u2013216. New York, NY: ACM.","DOI":"10.1145\/170035.170072"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib5","unstructured":"Agrawal, R., Srikant, R., 1994. Fast algorithms for mining association rules in large databases. In: Proceedings of the 20th International Conference on Very Large Data Bases, VLDB \u05f394, pp. 487\u2013499. Morgan: Kaufmann."},{"issue":"2","key":"10.1016\/B978-0-12-809633-8.20333-6_bib6","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1093\/bib\/bbp042","article-title":"Gene association analysis: A survey of frequent pattern mining from gene expression data","volume":"11","author":"Alves","year":"2010","journal-title":"Briefings in Bioinformatics"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib7","unstructured":"Angiulli, F., Ianni, G., Palopoli, L., 2001. On the complexity of mining association rules. In: Proceedings of the Nono Convegno Nazionale su Sistemi Evoluti di Basi di Dati (SEBD), SEBD, pp. 177\u2013184."},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib8","doi-asserted-by":"crossref","unstructured":"Antonie, M.-L., Za\u00efane, O.R., 2004. Mining positive and negative association rules: An approach for confined rules. In: Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, vol. 3202 of PKDD, pp. 27\u201338. Springer.","DOI":"10.1007\/978-3-540-30116-5_6"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib9","doi-asserted-by":"crossref","unstructured":"Atluri, G., Gupta, R., Fang, G., et al., 2009. Association analysis techniques for bioinformatics problems. In: Proceedings of the First International Conference on Bioinformatics and Computational Biology, pp. 1\u201313. Berlin, Heidelberg: Springer.","DOI":"10.1007\/978-3-642-00727-9_1"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib10","unstructured":"Borgelt, C., 2003. Efficient implementations of apriori and eclat. In: Proceedings of Workshop of Frequent Item Set Mining Implementations, FIMI. Melbourne, FL."},{"issue":"6","key":"10.1016\/B978-0-12-809633-8.20333-6_bib11","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1002\/widm.1074","article-title":"Frequent item set mining, Wiley Interdisciplinary Reviews","volume":"2","author":"Borgelt","year":"2012","journal-title":"Data Mining and Knowledge Discovery"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib12","unstructured":"Borgelt, C., 2017. Implementations of various data mining algorithms. Available at: http:\/\/www.borgelt.net\/software.html."},{"issue":"1","key":"10.1016\/B978-0-12-809633-8.20333-6_bib13","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1021571501451","article-title":"Free-sets: A condensed representation of boolean data for the approximation of frequency queries","volume":"7","author":"Boulicaut","year":"2003","journal-title":"Data Mining and Knowledge Discovery"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib14","doi-asserted-by":"crossref","unstructured":"Brin, S., Motwani, R., Ullman, J., Tsur, S., 1997. Dynamic itemset counting and implication rules for market basket data. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 255\u2013264. ACM Press.","DOI":"10.1145\/253260.253325"},{"issue":"1","key":"10.1016\/B978-0-12-809633-8.20333-6_bib15","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s10618-006-0054-6","article-title":"Non-derivable itemset mining","volume":"14","author":"Calders","year":"2007","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"3","key":"10.1016\/B978-0-12-809633-8.20333-6_bib16","first-page":"215","article-title":"An algorithm for comparing rna secondary structures and searching for similar substructures","volume":"8","author":"Chevalet","year":"1992","journal-title":"Computer Applications in the Biosciences"},{"issue":"1","key":"10.1016\/B978-0-12-809633-8.20333-6_bib17","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/TITB.2009.2028234","article-title":"Predicting protein function by frequent functional association pattern mining in protein interaction networks","volume":"14","author":"Cho","year":"2010","journal-title":"IEEE Transactions on Information Technology in Biomedicine"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib18","doi-asserted-by":"crossref","unstructured":"Cong, G., Tan, K.-L., Tung, A.K.H., Xu, X., 2005. Mining top-k covering rule groups for gene expression data. In: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, SIGMOD \u05f305, pp. 670\u2013681. New York, NY: ACM Press.","DOI":"10.1145\/1066157.1066234"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib19","doi-asserted-by":"crossref","unstructured":"Cong, G., Tung, A.K.H., Xu, X., Pan, F., Yang, J., 2004. Farmer: Finding interesting rule groups in microarray datasets. In: Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, SIGMOD \u05f304, pp. 143\u2013154. ACM.","DOI":"10.1145\/1007568.1007587"},{"issue":"3","key":"10.1016\/B978-0-12-809633-8.20333-6_bib20","first-page":"311","article-title":"Data mining-based dns log analysis, Annals of Data","volume":"1","author":"Cui","year":"2014","journal-title":"Science"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib21","doi-asserted-by":"crossref","unstructured":"Deshpande, M., Kuramochi, M., Karypis, G., 2002. Automated approaches for classifying structures. In: Proceedings of the 2nd International Conference on Data Mining in Bioinformatics, BIOKDD\u05f302, pp. 11\u201318. Springer.","DOI":"10.21236\/ADA439498"},{"issue":"8","key":"10.1016\/B978-0-12-809633-8.20333-6_bib22","doi-asserted-by":"crossref","first-page":"1036","DOI":"10.1109\/TKDE.2005.127","article-title":"Frequent substructure-based approaches for classifying chemical compounds","volume":"17","author":"Deshpande","year":"2005","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib23","doi-asserted-by":"crossref","unstructured":"Di Fatta, G., Berthold, M.R., 2005. High performance subgraph mining in molecular compounds. In: Proceedings of the International Conference on High Performance Computing and Communications (HPCC), LNCS, pp. 866\u2013877. Springer.","DOI":"10.1007\/11557654_97"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib24","doi-asserted-by":"crossref","unstructured":"Di Fatta, G., Berthold, M.R., 2006. Dynamic load balancing in distributed mining of molecular compounds. In: Proceedings of the IEEE Transactions on Parallel and Distributed Systems, Special Issue on High Performance Computational Biology, pp.773\u2013785.","DOI":"10.1109\/TPDS.2006.101"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib25","doi-asserted-by":"crossref","unstructured":"Di Fatta, G., Fiannaca, A., Rizzo, R., et al., 2006. Context-aware visual exploration of molecular databases. In: Proceedings of the Sixth IEEE International Conference on Data Mining \u2013 Workshops (ICDMW\u05f306), pp. 136\u2013141.","DOI":"10.1109\/ICDMW.2006.51"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib26","doi-asserted-by":"crossref","unstructured":"Di Fatta, G., Leue, S., Stegantova, E., 2016. Discriminative pattern mining in software fault detection. In: Proceedings of the 3rd International Workshop on Software Quality Assurance (SOQUA), 14th ACM Symposium on Foundations of Software Engineering (ACM SIGSOFT), pp. 62\u201369. ACM.","DOI":"10.1145\/1188895.1188910"},{"issue":"4","key":"10.1016\/B978-0-12-809633-8.20333-6_bib27","article-title":"A survey of itemset mining, wiley interdisciplinary reviews","volume":"7","author":"Fournier-Viger","year":"2017","journal-title":"Data Mining and Knowledge Discovery"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib28","unstructured":"Goethals, B., 2003. Survey on frequent pattern mining. Technical report. Helsinki Institute for Information Technology."},{"issue":"1","key":"10.1016\/B978-0-12-809633-8.20333-6_bib29","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1093\/bioinformatics\/19.1.79","article-title":"Mining gene expression databases for association rules","volume":"19","author":"Hanash","year":"2003","journal-title":"Bioinformatics"},{"issue":"1","key":"10.1016\/B978-0-12-809633-8.20333-6_bib30","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s10618-006-0059-1","article-title":"Frequent pattern mining: Current status and future directions","volume":"15","author":"Han","year":"2007","journal-title":"Data Mining and Knowledge Discovery"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib31","doi-asserted-by":"crossref","unstructured":"Han, J., Pei, J., Yin, Y., 2000. Mining frequent patterns without candidate generation. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, SIGMOD \u05f300, pp. 1\u201312. ACM.","DOI":"10.1145\/342009.335372"},{"issue":"1","key":"10.1016\/B978-0-12-809633-8.20333-6_bib32","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1145\/360402.360421","article-title":"Algorithms for association rule mining \u2013 A general survey and comparison","volume":"2","author":"Hipp","year":"2000","journal-title":"SIGKDD Explorations Newsletter"},{"issue":"15","key":"10.1016\/B978-0-12-809633-8.20333-6_bib33","first-page":"1","article-title":"Arules \u2013 A computational environment for mining association rules and frequent item sets, Wiley Interdisciplinary Reviews","volume":"14","author":"Hornik","year":"2005","journal-title":"Data Mining and Knowledge Discovery"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib34","doi-asserted-by":"crossref","unstructured":"Kuramochi, M., Karypis, G., 2001. Frequent subgraph discovery. In: Proceedings of the 2001 IEEE International Conference on Data Mining, ICDM \u05f301, IEEE Computer Society, pp. 313\u2013320.","DOI":"10.1109\/ICDM.2001.989534"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib35","doi-asserted-by":"crossref","unstructured":"Liu, C., Yan, X., Yu, H., Han, J., Yu, P.S., 2005. Mining behavior graphs for \u201cbacktrace\u201d of noncrashing bugs. In: Proceedings of the 2005 SIAM International Conference on Data Mining, pp. 286\u2013297.","DOI":"10.1137\/1.9781611972757.26"},{"issue":"1","key":"10.1016\/B978-0-12-809633-8.20333-6_bib36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1824795.1824798","article-title":"A taxonomy of sequential pattern mining algorithms","volume":"43","author":"Mabroukeh","year":"2010","journal-title":"ACM Computing Surveys"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib37","doi-asserted-by":"crossref","unstructured":"Miller R.J., Yang Y., 1997. Association rules over interval data. In: Proceedings of the ACM 1997 SIGMOD International Conference on Management of Data, SIGMOD \u05f397, pp. 452\u2013461. ACM.","DOI":"10.1145\/253260.253361"},{"issue":"1","key":"10.1016\/B978-0-12-809633-8.20333-6_bib38","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s10115-010-0329-5","article-title":"Efficient mining of all margin-closed itemsets with applications in temporal knowledge discovery and classification by compression","volume":"29","author":"Moerchen","year":"2011","journal-title":"Knowledge and Information Systems"},{"issue":"12","key":"10.1016\/B978-0-12-809633-8.20333-6_bib39","doi-asserted-by":"crossref","DOI":"10.1093\/bioinformatics\/btu260","article-title":"Using association rule mining to determine promising secondary phenotyping hypotheses","volume":"30","author":"Oellrich","year":"2014","journal-title":"Bioinformatics"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib40","doi-asserted-by":"crossref","unstructured":"Pei, J., Han, J., Mortazavi-Asl, B., Zhu H., 2000. Mining access patterns efficiently from web logs. In: Proceedings of the Knowledge Discovery and Data Mining, Current Issues and New Applications: 4th Pacific-Asia Conference, PAKDD 2000, pp. 396\u2013407. Kyoto, Japan: Springer.","DOI":"10.1007\/3-540-45571-X_47"},{"issue":"1","key":"10.1016\/B978-0-12-809633-8.20333-6_bib41","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1093\/bioinformatics\/14.1.55","article-title":"Combinatorial pattern discovery in biological sequences: The teiresias algorithm","volume":"14","author":"Rigoutsos","year":"1998","journal-title":"Bioinformatics"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib42","unstructured":"Sarawagi, S., Thomas, S., 1998. Mining generalized association rules and sequential patterns using sql queries. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD \u05f398, ACM."},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib43","unstructured":"Savasere, A., Omiecinski, E., Navathe, S., 1995. An efficient algorithm for mining association rules in large databases. In: Proceedings of the 21th International Conference on Very Large Data Bases (VLDB), pp. 432\u2013444."},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib44","doi-asserted-by":"crossref","unstructured":"Shasha, D., Wang, J.T.L., Zhang, S., 2004. Unordered tree mining with applications to phylogeny. In: Proceedings of 20th International Conference on Data Engineering, pp. 708\u2013719.","DOI":"10.1109\/ICDE.2004.1320039"},{"issue":"3","key":"10.1016\/B978-0-12-809633-8.20333-6_bib45","article-title":"Mining functional subgraphs from cancer protein-protein interaction networks","volume":"6","author":"Shen","year":"2012","journal-title":"BMC Systems Biology"},{"issue":"786","key":"10.1016\/B978-0-12-809633-8.20333-6_bib46","article-title":"Dynamic association rules for gene expression data analysis","volume":"16","author":"Chen","year":"2015","journal-title":"BMC Genomics"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib47","doi-asserted-by":"crossref","unstructured":"Srikant, R., Agrawal, R., 1996. Mining quantitative association rules in large relational tables. In: Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, SIGMOD \u05f396, pp. 1\u201312. ACM.","DOI":"10.1145\/233269.233311"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib48","unstructured":"Toivonen, H., 1996. Sampling large databases for association rules. In: Proceedings of the 22nd International Conference on Very Large Data Bases (VLDB), pp. 134\u2013145. Morgan: Kaufmann."},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib49","unstructured":"Uno, T., Kiyomi, M., Arimura, H., 2004. Efficient mining algorithms for frequent\/closed\/maximal item sets. In: Workshop of Frequent Item Set Mining Implementations, FIMI. Brighton, United Kingdom."},{"issue":"3","key":"10.1016\/B978-0-12-809633-8.20333-6_bib50","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1023\/A:1009755120593","article-title":"On the complexity of mining quantitative association rules","volume":"2","author":"Wijsen","year":"1998","journal-title":"Data Mining and Knowledge Discovery"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib51","doi-asserted-by":"crossref","unstructured":"Yang, G., 2004. The complexity of mining maximal frequent itemsets and maximal frequent patterns. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD \u05f304, pp. 344\u2013353. ACM.","DOI":"10.1145\/1014052.1014091"},{"key":"10.1016\/B978-0-12-809633-8.20333-6_bib52","doi-asserted-by":"crossref","unstructured":"Zaki, M., Parthasarathy, S., Ogihara, M., Li, W., 1997. New algorithms for fast discovery of association rules. In: Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, pp. 283\u2013286. AAAI Press.","DOI":"10.1007\/978-1-4615-5669-5_1"},{"issue":"3","key":"10.1016\/B978-0-12-809633-8.20333-6_bib53","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1109\/69.846291","article-title":"Scalable algorithms for association mining","volume":"12","author":"Zaki","year":"2000","journal-title":"IEEE Transactions on Knowledge and Data Engineering"}],"container-title":["Encyclopedia of Bioinformatics and Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780128096338203336?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780128096338203336?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T21:08:03Z","timestamp":1751576883000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780128096338203336"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9780128114322"],"references-count":53,"URL":"https:\/\/doi.org\/10.1016\/b978-0-12-809633-8.20333-6","relation":{},"subject":[],"published":{"date-parts":[[2019]]}}}