{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T12:49:42Z","timestamp":1785934182934,"version":"3.56.0"},"reference-count":54,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012624","name":"Tezpur University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012624","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001501","name":"University Grants Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001501","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.eswa.2026.133321","type":"journal-article","created":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T16:31:05Z","timestamp":1781713865000},"page":"133321","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PB","title":["IPFP: An improved parallel FP-Growth method for fast association rule mining"],"prefix":"10.1016","volume":"331","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6600-3116","authenticated-orcid":false,"given":"Bhaswati","family":"Baishya","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6023-849X","authenticated-orcid":false,"given":"Anindita","family":"Borah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3042-8457","authenticated-orcid":false,"given":"Bhabesh","family":"Nath","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.133321_bib0001","series-title":"International conference on industrial, engineering and other applications of applied intelligent systems","first-page":"363","article-title":"Constructing complete FP-tree for incremental mining of frequent patterns in dynamic databases","author":"Adnan","year":"2006"},{"key":"10.1016\/j.eswa.2026.133321_bib0002","series-title":"Proceedings of the 1993\u202fACM SIGMOD international conference on management of data","first-page":"207","article-title":"Mining association rules between sets of items in large databases","author":"Agrawal","year":"1993"},{"key":"10.1016\/j.eswa.2026.133321_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.115603","article-title":"ISSP-tree: An improved fast algorithm for constructing a complete prefix tree using single database scan","volume":"185","author":"Ahmed","year":"2021","journal-title":"Expert Systems with Applications"},{"issue":"16","key":"10.1016\/j.eswa.2026.133321_bib0004","doi-asserted-by":"crossref","first-page":"12551","DOI":"10.1016\/j.eswa.2012.04.086","article-title":"Effective product assignment based on association rule mining in retail","volume":"39","author":"Ahn","year":"2012","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"10.1016\/j.eswa.2026.133321_bib0005","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1023\/A:1026482903537","article-title":"Borders: An efficient algorithm for association generation in dynamic databases","volume":"12","author":"Aumann","year":"1999","journal-title":"Journal of Intelligent Information Systems"},{"key":"10.1016\/j.eswa.2026.133321_bib0006","series-title":"International conference on advanced computational and communication paradigms","first-page":"113","article-title":"Association rule mining in distributed environment: A survey","author":"Baishya","year":"2023"},{"key":"10.1016\/j.eswa.2026.133321_bib0007","series-title":"International symposium on intelligent and distributed computing","first-page":"61","article-title":"Scalable inference of gene regulatory networks with the spark distributed computing platform","author":"Barba-Gonz\u00e1lez","year":"2018"},{"issue":"1","key":"10.1016\/j.eswa.2026.133321_bib0008","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1007\/s11227-025-08137-2","article-title":"Distributed improved FP-growth with level-wise and memory-aware pruning for scalable frequent itemset mining on apache spark\u2122","volume":"82","author":"Barkhan","year":"2025","journal-title":"The Journal of Supercomputing"},{"key":"10.1016\/j.eswa.2026.133321_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2019.113046","article-title":"An efficient pattern growth approach for mining fault tolerant frequent itemsets","volume":"143","author":"Bashir","year":"2020","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133321_bib0010","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.eswa.2018.07.010","article-title":"Identifying risk factors for adverse diseases using dynamic rare association rule mining","volume":"113","author":"Borah","year":"2018","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"10.1016\/j.eswa.2026.133321_bib0011","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.eswa.2006.04.025","article-title":"Mining learner profile utilizing association rule for web-based learning diagnosis","volume":"33","author":"Chen","year":"2007","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133321_bib0012","series-title":"Seventh international database engineering and applications symposium, 2003. proceedings.","first-page":"111","article-title":"Incremental mining of frequent patterns without candidate generation or support constraint","author":"Cheung","year":"2003"},{"key":"10.1016\/j.eswa.2026.133321_bib0013","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1109\/ACCESS.2021.3137789","article-title":"Towards enhancing the performance of parallel FP-growth on spark","volume":"10","author":"Essam","year":"2021","journal-title":"IEEE Access"},{"issue":"2","key":"10.1016\/j.eswa.2026.133321_bib0014","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.1007\/s10586-023-04014-w","article-title":"New spark solutions for distributed frequent itemset and association rule mining algorithms","volume":"27","author":"Fernandez-Basso","year":"2024","journal-title":"Cluster Computing"},{"key":"10.1016\/j.eswa.2026.133321_bib0015","unstructured":"FIMI Repository (2025). Frequent itemset mining dataset repository. https:\/\/fimi.uantwerpen.be\/src\/. Accessed: August 2025."},{"key":"10.1016\/j.eswa.2026.133321_bib0016","unstructured":"Fournier-Viger, P. (2026). SPMF: Datasets for data mining. https:\/\/www.philippe-fournier-viger.com\/spmf\/index.php?link=datasets.php. Accessed: 2026-04-14."},{"key":"10.1016\/j.eswa.2026.133321_bib0017","series-title":"2009 International conference on computer and automation engineering","first-page":"336","article-title":"Some observations of sequential, parallel and distributed association rule mining algorithms","author":"Garg","year":"2009"},{"key":"10.1016\/j.eswa.2026.133321_bib0018","series-title":"Sixth IEEE international conference on data mining-workshops (ICDMW\u201906)","first-page":"474","article-title":"Mining the future: Predicting itemsets\u2019 support of association rules mining","author":"Guirguis","year":"2006"},{"issue":"1","key":"10.1016\/j.eswa.2026.133321_bib0019","first-page":"68","article-title":"Application of association rule in disaster weather forecasting","volume":"10","author":"Guo","year":"2004","journal-title":"Geographic Information Sciences"},{"key":"10.1016\/j.eswa.2026.133321_bib0020","series-title":"Data mining: Concepts and techniques","author":"Han","year":"2022"},{"issue":"2","key":"10.1016\/j.eswa.2026.133321_bib0021","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/335191.335372","article-title":"Mining frequent patterns without candidate generation","volume":"29","author":"Han","year":"2000","journal-title":"ACM Sigmod Record"},{"issue":"1","key":"10.1016\/j.eswa.2026.133321_bib0022","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1007\/s10586-014-0405-9","article-title":"Parallel data intensive applications using mapreduce: a data mining case study in biomedical sciences","volume":"18","author":"Han","year":"2015","journal-title":"Cluster Computing"},{"issue":"4","key":"10.1016\/j.eswa.2026.133321_bib0023","doi-asserted-by":"crossref","first-page":"2424","DOI":"10.1016\/j.eswa.2007.04.009","article-title":"Incrementally fast updated frequent pattern trees","volume":"34","author":"Hong","year":"2008","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133321_bib0024","doi-asserted-by":"crossref","first-page":"135144","DOI":"10.1109\/ACCESS.2021.3115514","article-title":"A distributed method for fast mining frequent patterns from big data","volume":"9","author":"Huang","year":"2021","journal-title":"IEEE Access"},{"issue":"4","key":"10.1016\/j.eswa.2026.133321_bib0025","first-page":"37","article-title":"Association rule mining using improved apriori algorithm","volume":"112","author":"Ingle","year":"2015","journal-title":"International Journal of Computer Applications"},{"key":"10.1016\/j.eswa.2026.133321_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.115369","article-title":"Big data classification using heterogeneous ensemble classifiers in apache spark based on mapreduce paradigm","volume":"183","author":"Kadkhodaei","year":"2021","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"10.1016\/j.eswa.2026.133321_bib0027","doi-asserted-by":"crossref","first-page":"1034","DOI":"10.1016\/j.eswa.2012.08.039","article-title":"Mining association rules for the quality improvement of the production process","volume":"40","author":"Kamsu-Foguem","year":"2013","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133321_bib0028","series-title":"International conference on database systems for advanced applications","first-page":"417","article-title":"An efficient approach for maintaining association rules based on adjusting FP-tree structures","author":"Koh","year":"2004"},{"issue":"3","key":"10.1016\/j.eswa.2026.133321_bib0029","doi-asserted-by":"crossref","first-page":"1422","DOI":"10.1016\/j.eswa.2007.08.048","article-title":"Towards personalized recommendation by two-step modified apriori data mining algorithm","volume":"35","author":"Lazcorreta","year":"2008","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133321_bib0030","series-title":"Fifth IEEE international conference on data mining (ICDM\u201905)","first-page":"8","article-title":"CanTree: A tree structure for efficient incremental mining of frequent patterns","author":"Leung","year":"2005"},{"key":"10.1016\/j.eswa.2026.133321_bib0031","series-title":"Proceedings of the 2008\u202fACM conference on recommender systems","first-page":"107","article-title":"PFP: Parallel FP-Growth for query recommendation","author":"Li","year":"2008"},{"issue":"2","key":"10.1016\/j.eswa.2026.133321_bib0032","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1007\/s10489-013-0467-z","article-title":"Incrementally mining high utility patterns based on pre-large concept","volume":"40","author":"Lin","year":"2014","journal-title":"Applied Intelligence"},{"issue":"5","key":"10.1016\/j.eswa.2026.133321_bib0033","doi-asserted-by":"crossref","first-page":"9498","DOI":"10.1016\/j.eswa.2008.03.014","article-title":"The pre-FUFP algorithm for incremental mining","volume":"36","author":"Lin","year":"2009","journal-title":"Expert Systems with Applications"},{"issue":"5","key":"10.1016\/j.eswa.2026.133321_bib0034","doi-asserted-by":"crossref","first-page":"5154","DOI":"10.1016\/j.eswa.2010.10.047","article-title":"An improved frequent pattern growth method for mining association rules","volume":"38","author":"Lin","year":"2011","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133321_bib0035","series-title":"2013 5th IEEE international conference on broadband network & multimedia technology","first-page":"273","article-title":"Log analysis in cloud computing environment with hadoop and spark","author":"Lin","year":"2013"},{"key":"10.1016\/j.eswa.2026.133321_bib0036","series-title":"2023 5th international conference on artificial intelligence and computer applications (ICAICA)","first-page":"948","article-title":"Parallel frequent itemset mining algorithm and optimization based on spark","author":"Liu","year":"2023"},{"issue":"4","key":"10.1016\/j.eswa.2026.133321_bib0037","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1002\/cta.2935","article-title":"An improved approach for mining association rules in parallel using spark streaming","volume":"49","author":"Liu","year":"2021","journal-title":"International Journal of Circuit Theory and Applications"},{"key":"10.1016\/j.eswa.2026.133321_bib0038","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.jss.2016.11.037","article-title":"Performance evaluation of cloud-based log file analysis with apache hadoop and apache spark","volume":"125","author":"Mavridis","year":"2017","journal-title":"Journal of Systems and Software"},{"issue":"34","key":"10.1016\/j.eswa.2026.133321_bib0039","first-page":"1","article-title":"MLlib: Machine learning in apache spark","volume":"17","author":"Meng","year":"2016","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.eswa.2026.133321_bib0040","series-title":"2014 IEEE International parallel & distributed processing symposium workshops","first-page":"1664","article-title":"YAFIM: A parallel frequent itemset mining algorithm with spark","author":"Qiu","year":"2014"},{"issue":"9","key":"10.1016\/j.eswa.2026.133321_bib0041","doi-asserted-by":"crossref","first-page":"3565","DOI":"10.1007\/s10115-020-01464-1","article-title":"EAFIM: Efficient apriori-based frequent itemset mining algorithm on spark for big transactional data","volume":"62","author":"Raj","year":"2020","journal-title":"Knowledge and Information Systems"},{"issue":"4","key":"10.1016\/j.eswa.2026.133321_bib0042","doi-asserted-by":"crossref","first-page":"367","DOI":"10.22266\/ijies2019.0831.34","article-title":"An efficient distributed frequent itemset mining algorithm based on spark for big data","volume":"12","author":"Rochd","year":"2019","journal-title":"International Journal of Intelligent Engineering & Systems"},{"key":"10.1016\/j.eswa.2026.133321_bib0043","series-title":"2016 2nd International conference on cloud computing technologies and applications (cloudtech)","first-page":"267","article-title":"Comparative study between hadoop and spark based on hibench benchmarks","author":"Samadi","year":"2016"},{"issue":"34","key":"10.1016\/j.eswa.2026.133321_bib0044","doi-asserted-by":"crossref","first-page":"3561","DOI":"10.17485\/IJST\/v13i34.1078","article-title":"An efficient FP-growth based association rule mining algorithm using hadoop mapreduce","volume":"13","author":"Senthilkumar","year":"2020","journal-title":"Indian Journal of Science, Technology"},{"issue":"8","key":"10.1016\/j.eswa.2026.133321_bib0045","doi-asserted-by":"crossref","first-page":"3652","DOI":"10.1007\/s11227-017-1963-4","article-title":"HFIM: A spark-based hybrid frequent itemset mining algorithm for big data processing","volume":"73","author":"Sethi","year":"2017","journal-title":"The Journal of Supercomputing"},{"key":"10.1016\/j.eswa.2026.133321_bib0046","series-title":"2017 IEEE 2nd advanced information technology, electronic and automation control conference (IAEAC)","first-page":"1725","article-title":"DFPS: Distributed FP-Growth algorithm based on spark","author":"Shi","year":"2017"},{"issue":"1","key":"10.1016\/j.eswa.2026.133321_bib0047","first-page":"1","article-title":"An efficient parallel FP-growth algorithm for big data association rule mining","volume":"4","author":"Smith","year":"2024","journal-title":"Journal of Computer Science and Software Applications"},{"key":"10.1016\/j.eswa.2026.133321_bib0048","series-title":"Introduction to data mining","author":"Tan","year":"2016"},{"key":"10.1016\/j.eswa.2026.133321_bib0049","series-title":"Hadoop: The definitive guide","author":"White","year":"2012"},{"key":"10.1016\/j.eswa.2026.133321_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.115449","article-title":"HAOP-Miner: Self-adaptive high-average utility one-off sequential pattern mining","volume":"184","author":"Wu","year":"2021","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133321_bib0051","doi-asserted-by":"crossref","DOI":"10.1016\/j.parco.2020.102738","article-title":"HBPFP-DC: A parallel frequent itemset mining using spark","volume":"101","author":"Xun","year":"2021","journal-title":"Parallel Computing"},{"key":"10.1016\/j.eswa.2026.133321_bib0052","unstructured":"Yasser, H. (2025). Instacart online grocery basket analysis dataset. https:\/\/www.kaggle.com\/datasets\/yasserh\/instacart-online-grocery-basket-analysis-dataset. Accessed: August 2025."},{"issue":"4","key":"10.1016\/j.eswa.2026.133321_bib0053","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/4434.806975","article-title":"Parallel and distributed association mining: A survey","volume":"7","author":"Zaki","year":"2002","journal-title":"IEEE Concurrency"},{"key":"10.1016\/j.eswa.2026.133321_bib0054","series-title":"Conference of the canadian society for computational studies of intelligence","first-page":"26","article-title":"A low-scan incremental association rule maintenance method based on the apriori property","author":"Zhou","year":"2001"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095741742602230X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095741742602230X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T12:36:21Z","timestamp":1785933381000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095741742602230X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":54,"alternative-id":["S095741742602230X"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133321","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"IPFP: An improved parallel FP-Growth method for fast association rule mining","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133321","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133321"}}