{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T12:34:59Z","timestamp":1730205299051,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1109\/cec.2019.8790144","type":"proceedings-article","created":{"date-parts":[[2019,8,9]],"date-time":"2019-08-09T00:00:07Z","timestamp":1565308807000},"page":"1148-1156","source":"Crossref","is-referenced-by-count":5,"title":["PBAR: Parallelized Brain Storm Optimization for Association Rule Mining"],"prefix":"10.1109","author":[{"given":"Lianbo","family":"Ma","sequence":"first","affiliation":[]},{"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Rui","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Guangming","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Yichuan","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","first-page":"179","article-title":"An effective boolean algorithm for mining association rules in large databases","author":"wur","year":"1998","journal-title":"Proc 6th International Conferene on Database Systems for Advanced Applications"},{"key":"ref31","article-title":"Applying genetic algorithm and weight item to association rule","author":"kung","year":"2002","journal-title":"Master thesis"},{"key":"ref30","article-title":"k-means++:the advantages of careful seeding","author":"arthur","year":"2007","journal-title":"Proceedings of the eighteenth annual ACMSIAM symposium on Discrete algorithms"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.06.060"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2013.06.003"},{"key":"ref12","article-title":"Association rule mining using hybrid gapso for multi-objective optimisation","author":"agarwal","year":"2017","journal-title":"IEEE International Conference on Computational Intelligence & Computing Research"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.01.001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"key":"ref15","first-page":"1","article-title":"Brain storm optimization algorithm","volume":"6728","author":"shi","year":"2011","journal-title":"IEEE Congress on Evolutionary Computation"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2480-8"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-3614-9_33"},{"key":"ref18","article-title":"Bacterial foraging algorithm based on reinforcement learning for continuous optimizations","author":"jiang","year":"2017","journal-title":"in the 2nd International Symposium on Intelligence Computation and Application"},{"key":"ref19","article-title":"Multi-indicator bacterial foraging algorithm with kriging model for many-objective optimization","author":"rui","year":"2018","journal-title":"International Conference on Swarm Intelligence"},{"key":"ref28","first-page":"100","article-title":"Algorithm as 136: A k-means clustering algorithm","volume":"28","author":"hartigan","year":"1979","journal-title":"Journal of the Royal Statistical Society"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS.2016.79"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2014.6900255"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSE.2016.7581647"},{"key":"ref6","first-page":"207","article-title":"Mining association rules between sets of items in large databases","author":"imielinski","year":"1993","journal-title":"ACM SIGMOD"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.14778\/2180912.2180915"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2991\/cisia-15.2015.18"},{"key":"ref8","article-title":"Association rule mining using multi-objective evolutionary algorithms: Strengths and challenges","author":"anand","year":"2010","journal-title":"World Congress on Nature & Biologically Inspired Computing"},{"journal-title":"Mining frequent patterns without candidate generation","year":"2000","author":"han","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSST.2010.5496972"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2009.11.023"},{"key":"ref1","first-page":"10","article-title":"Spark: Cluster computing with working sets","volume":"10","author":"zaharia","year":"2010","journal-title":"Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing"},{"key":"ref20","article-title":"Brain storm optimization algorithm in objective space","author":"shi","year":"2011","journal-title":"Intl Conf on Swarm Intelligence"},{"key":"ref22","first-page":"36 977","article-title":"Asbso: An improved brain storm optimization with flexible search length and memory-based selection","volume":"pp","author":"yang","year":"0","journal-title":"IEEE Access"},{"key":"ref21","article-title":"An improved brain storm optimization with learning strategy","author":"hong","year":"2017","journal-title":"Intl Conf on Swarm Intelligence"},{"key":"ref24","article-title":"Brain storm optimization algorithm for multi-objective optimization problems","author":"xue","year":"2012","journal-title":"International Conference on Swarm Intelligence"},{"key":"ref23","first-page":"1","article-title":"A brain storm optimization with multiinformation interactions for global optimization problems","volume":"pp","author":"li","year":"2018","journal-title":"IEEE Access"},{"key":"ref26","article-title":"Convergence analysis of brain storm optimization algorithm","author":"zhou","year":"2016","journal-title":"Evolutionary Computation"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-41000-5_48"}],"event":{"name":"2019 IEEE Congress on Evolutionary Computation (CEC)","start":{"date-parts":[[2019,6,10]]},"location":"Wellington, New Zealand","end":{"date-parts":[[2019,6,13]]}},"container-title":["2019 IEEE Congress on Evolutionary Computation (CEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8778428\/8789744\/08790144.pdf?arnumber=8790144","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T15:11:31Z","timestamp":1658157091000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8790144\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/cec.2019.8790144","relation":{},"subject":[],"published":{"date-parts":[[2019,6]]}}}