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We need to represent the uncertain data collected using probabilities to extract the useful information for production and application from a huge indeterminate data warehouse. The data in the database has a particular order in time or space, so the High-Utility Probability Sequential Pattern Mining (HUPSPM) has become a new investigation and analysis topic in data processing. After the progress of timestamp, many efficient algorithms for sequential mining have been developed. However, these algorithms have a limitation: they can only be executed in a stand-alone environment and are only suitable for small datasets. Therefore, introducing an advanced graph framework for processing large datasets addresses the shortcomings of the existing methods. The proposed algorithm can avoid repeated database searching, splitting the database, and improve the parallel computing capability. The initial database is pruned according to the existing pruning strategy to effectively reduce the number of candidate sets effectively. Experiments show that the algorithm presented in this paper has excellent advantages in mining high-utility probability sequences in large datasets. <\/jats:p>","DOI":"10.1142\/s0218126622502619","type":"journal-article","created":{"date-parts":[[2022,5,11]],"date-time":"2022-05-11T08:00:29Z","timestamp":1652256029000},"source":"Crossref","is-referenced-by-count":4,"title":["Efficient Uncertain Sequence Pattern Mining Based on Hadoop Platform"],"prefix":"10.1142","volume":"31","author":[{"given":"Jimmy Ming-Tai","family":"Wu","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong, P.\u00a0R.\u00a0China"}]},{"given":"Shuo","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8768-9709","authenticated-orcid":false,"given":"Jerry Chun-Wei","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen 5063, Norway"}]}],"member":"219","published-online":{"date-parts":[[2022,7,12]]},"reference":[{"key":"S0218126622502619BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.02.003"},{"key":"S0218126622502619BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/69.250074"},{"key":"S0218126622502619BIB003","doi-asserted-by":"publisher","DOI":"10.1145\/170035.170072"},{"key":"S0218126622502619BIB004","first-page":"487","volume-title":"Proc. 20th Int. 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