{"id":"https://openalex.org/W2390541112","doi":null,"title":"Sequential patterns mining algorithm based on improved PrefixSpan","display_name":"Sequential patterns mining algorithm based on improved PrefixSpan","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2390541112","mag":"2390541112"},"language":"en","primary_location":{"id":"mag:2390541112","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJY201109027.htm","pdf_url":null,"source":{"id":"https://openalex.org/S107449649","display_name":"Journal of Computer Applications","issn_l":"1001-9081","issn":["1001-9081"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319982","host_organization_name":"Science Press","host_organization_lineage":["https://openalex.org/P4310319982"],"host_organization_lineage_names":["Science Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Computer Applications","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112348123","display_name":"Jia Xian","orcid":"https://orcid.org/0009-0000-7004-4760","observed_orcids":["https://orcid.org/0009-0000-7004-4760"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jia Xian","raw_affiliation_strings":["Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology,Jinan Shandong 250014,China)"],"raw_orcid":"https://orcid.org/0009-0000-7004-4760","affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology,Jinan Shandong 250014,China)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5112348123"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"sequential pattern mining","score":0.9589999914169312},{"id":"https://openalex.org/keywords/prefixspan","display_name":"PrefixSpan","score":0.9869999885559082},{"id":"https://openalex.org/keywords/projected-databases","display_name":"projected databases","score":0.8669999837875366},{"id":"https://openalex.org/keywords/pruning","display_name":"pruning","score":0.859000027179718},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"algorithm efficiency","score":0.9100000262260437}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7385565638542175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676862239837646},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.6414620876312256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5359500050544739},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5028926730155945},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.4241114854812622},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41613635420799255},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0883415937423706},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.05562525987625122},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2390541112","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJY201109027.htm","pdf_url":null,"source":{"id":"https://openalex.org/S107449649","display_name":"Journal of Computer Applications","issn_l":"1001-9081","issn":["1001-9081"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319982","host_organization_name":"Science Press","host_organization_lineage":["https://openalex.org/P4310319982"],"host_organization_lineage_names":["Science Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Computer Applications","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2547986734","https://openalex.org/W2380280788","https://openalex.org/W2006683867","https://openalex.org/W2363037450","https://openalex.org/W2566820362","https://openalex.org/W4293114771","https://openalex.org/W7005954919","https://openalex.org/W3010396704","https://openalex.org/W2147694185","https://openalex.org/W2598633922"],"abstract_inverted_index":{"PrefixSpan,the":[0],"classic":[1],"sequential":[2,18,55,67,83],"patterns":[3,19,56,68,84],"mining":[4,20],"algorithm,has":[5],"the":[6,33,39,65],"problem":[7],"of":[8,12,35,41,52],"producing":[9],"huge":[10],"amount":[11],"project":[13],"databases.To":[14],"solve":[15],"this":[16,58],"problem,a":[17],"algorithm":[21,31],"named":[22],"SPMIP":[23,75],"was":[24],"proposed":[25],"based":[26],"on":[27],"an":[28],"improved":[29],"PrefixSpan.This":[30],"reduced":[32],"scale":[34],"projected":[36,43],"databases":[37,44],"and":[38,49],"time":[40],"scanning":[42,51],"through":[45],"adding":[46],"pruning":[47],"step":[48],"reducing":[50],"certain":[53],"specific":[54],"production.In":[57],"way,algorithm":[59],"efficiency":[60],"could":[61],"be":[62],"raised":[63],"up,and":[64],"needed":[66],"were":[69],"obtained.The":[70],"experimental":[71],"results":[72],"show":[73],"that":[74],"is":[76],"more":[77],"efficient":[78],"than":[79],"PrefixSpan":[80],"while":[81],"obtained":[82],"have":[85],"not":[86],"been":[87],"affected.":[88]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}