{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T02:13:47Z","timestamp":1778206427412,"version":"3.51.4"},"reference-count":21,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","funder":[{"name":"Ministry of Science and Technology Department Foundation of Sichuan Province","award":["2016FZ0108"],"award-info":[{"award-number":["2016FZ0108"]}]},{"name":"Ministry of Science and Technology Department Foundation of Sichuan Province","award":["2017JY0027"],"award-info":[{"award-number":["2017JY0027"]}]},{"name":"Ministry of Science and Technology Department Foundation of Sichuan Province","award":["2018JY0067"],"award-info":[{"award-number":["2018JY0067"]}]},{"name":"Ministry of Science and Technology Department Foundation of Sichuan Province","award":["2017GFW0128"],"award-info":[{"award-number":["2017GFW0128"]}]},{"name":"Natural Science Foundation of Guangdong Province, China","award":["2017A030313380"],"award-info":[{"award-number":["2017A030313380"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:p> Association rule (AR) mining in complex scene has attracted extensive attention of researchers in recent years. Typically, many researchers focused on an algorithm itself and ignored a generalization method to improve the performance of AR mining. Tuna et\u00a0al., presented a general data structure Speeding-Up AR Structure with Inverted Index Compression (SAII) which could be utilized in most of the existing algorithms to improve their performance IEEE Trans. Cybern.\u00a046(12) (2016) 3059\u20133072. However, we found that this algorithm consumes a lot of time in re-ordering data because a one-to-one comparison method is used in this process, which is the main reason that the speeding-up structure is difficult to establish when coping with much more large amount of data. To overcome these problems, this paper aims to propose an improved speeding-up AR algorithm based on group similarity and Apache Spark framework to further reduce the memory requirements and runtime. Our simulation results on the police business big dataset make clear that our improved approach performs well and is more suitable for a big data environment. <\/jats:p>","DOI":"10.1142\/s0218001420590053","type":"journal-article","created":{"date-parts":[[2019,4,26]],"date-time":"2019-04-26T01:37:11Z","timestamp":1556242631000},"page":"2059005","source":"Crossref","is-referenced-by-count":2,"title":["An Improved Group Similarity-Based Association Rule Mining Algorithm in Complex Scenes"],"prefix":"10.1142","volume":"34","author":[{"given":"Guiduo","family":"Duan","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China"},{"name":"Potsdam Institute for Climate Impact Research, Potsdam 14473, Germany"},{"name":"Department of Physics, Humboldt University of Berlin, Berlin 12489, Germany"},{"name":"Institute of Electronic and Information, Engineering of UESTC in Guangdong, Guangdong 511700, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaotong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China"},{"name":"CECT Ocean Information Co., Ltd, Beijing 100043, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianxi","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Fundamental Courses, Chengdu Textile College, Chengdu, P. R. 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