{"id":"https://openalex.org/W2101397015","doi":"https://doi.org/10.1145/1566445.1566559","title":"A hybrid approach to mining frequent sequential patterns","display_name":"A hybrid approach to mining frequent sequential patterns","publication_year":2009,"publication_date":"2009-03-19","ids":{"openalex":"https://openalex.org/W2101397015","doi":"https://doi.org/10.1145/1566445.1566559","mag":"2101397015"},"language":"en","primary_location":{"id":"doi:10.1145/1566445.1566559","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1566445.1566559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th Annual Southeast Regional Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5047990192","display_name":"Erich A. Peterson","orcid":"https://orcid.org/0000-0003-0925-7243"},"institutions":[{"id":"https://openalex.org/I102401767","display_name":"University of Arkansas at Little Rock","ror":"https://ror.org/04fttyv97","country_code":"US","type":"education","lineage":["https://openalex.org/I102401767"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Erich Allen Peterson","raw_affiliation_strings":["University of Arkansas at Little Rock, Little Rock, AR","University of Arkansas at Little Rock, Little Rock AR#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Arkansas at Little Rock, Little Rock, AR","institution_ids":["https://openalex.org/I102401767"]},{"raw_affiliation_string":"University of Arkansas at Little Rock, Little Rock AR#TAB#","institution_ids":["https://openalex.org/I102401767"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013607020","display_name":"Peiyi Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I102401767","display_name":"University of Arkansas at Little Rock","ror":"https://ror.org/04fttyv97","country_code":"US","type":"education","lineage":["https://openalex.org/I102401767"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peiyi Tang","raw_affiliation_strings":["University of Arkansas at Little Rock, Little Rock, AR","University of Arkansas at Little Rock, Little Rock AR#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Arkansas at Little Rock, Little Rock, AR","institution_ids":["https://openalex.org/I102401767"]},{"raw_affiliation_string":"University of Arkansas at Little Rock, Little Rock AR#TAB#","institution_ids":["https://openalex.org/I102401767"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047990192"],"corresponding_institution_ids":["https://openalex.org/I102401767"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14791349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/bitmap","display_name":"Bitmap","score":0.7939786911010742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7675621509552002},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7095493078231812},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.549669623374939},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.5130606889724731},{"id":"https://openalex.org/keywords/dissemination","display_name":"Dissemination","score":0.5072376728057861},{"id":"https://openalex.org/keywords/concept-mining","display_name":"Concept mining","score":0.4609648883342743},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4574735164642334},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.45395228266716003},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.45049136877059937},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.43502071499824524},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4214167296886444},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3879464268684387},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35941797494888306},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.35785651206970215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30117958784103394},{"id":"https://openalex.org/keywords/web-mining","display_name":"Web mining","score":0.24300366640090942},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1985607147216797},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1270194947719574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08207756280899048}],"concepts":[{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.7939786911010742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675621509552002},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7095493078231812},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.549669623374939},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.5130606889724731},{"id":"https://openalex.org/C101780184","wikidata":"https://www.wikidata.org/wiki/Q840576","display_name":"Dissemination","level":2,"score":0.5072376728057861},{"id":"https://openalex.org/C176775163","wikidata":"https://www.wikidata.org/wiki/Q5158396","display_name":"Concept mining","level":4,"score":0.4609648883342743},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4574735164642334},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.45395228266716003},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.45049136877059937},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.43502071499824524},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4214167296886444},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3879464268684387},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35941797494888306},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.35785651206970215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30117958784103394},{"id":"https://openalex.org/C197046077","wikidata":"https://www.wikidata.org/wiki/Q785337","display_name":"Web mining","level":3,"score":0.24300366640090942},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1985607147216797},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1270194947719574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08207756280899048},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1566445.1566559","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1566445.1566559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th Annual Southeast Regional Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W15333141","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1584003909","https://openalex.org/W1608194207","https://openalex.org/W1641039719","https://openalex.org/W1990800901","https://openalex.org/W2064853889","https://openalex.org/W2068383400","https://openalex.org/W2116338804","https://openalex.org/W2147694185"],"related_works":["https://openalex.org/W2350481214","https://openalex.org/W4238174620","https://openalex.org/W2892524699","https://openalex.org/W1998635274","https://openalex.org/W2183059146","https://openalex.org/W1493443126","https://openalex.org/W2360162995","https://openalex.org/W1480394542","https://openalex.org/W2584859357","https://openalex.org/W2347525705"],"abstract_inverted_index":{"The":[0],"mining":[1,56],"of":[2,17,89],"frequent":[3,53],"sequential":[4,54],"patterns":[5],"has":[6],"been":[7],"a":[8,29,82],"hot":[9],"and":[10,24,40,68,104],"well":[11,27],"studied":[12],"area---under":[13],"the":[14,86,90,98],"broad":[15],"umbrella":[16],"research":[18],"known":[19],"as":[20],"KDD":[21],"(Knowledge":[22],"Discovery":[23],"Data":[25],"Mining)---for":[26],"over":[28],"decade.":[30],"Yet":[31],"researchers":[32],"are":[33],"still":[34],"uncovering":[35],"interesting":[36],"problems,":[37],"new":[38,83,99],"algorithms,":[39],"ways":[41],"to":[42,80,107],"improve":[43],"upon":[44],"existing":[45],"methods.":[46],"In":[47,93],"this":[48,94],"paper,":[49,95],"we":[50,96],"marry":[51],"state-of-the-art":[52],"pattern":[55],"algorithms":[57],"(e.g.,":[58,64,75],"SPAM,":[59],"FOF,":[60],"PrefixSpan),":[61],"data":[62],"structures":[63],"aggregate":[65],"tree,":[66],"bitmap),":[67],"other":[69],"tried-and-true":[70],"methods":[71],"for":[72],"candidate":[73],"generation":[74],"apriori),":[76],"in":[77],"an":[78],"attempt":[79],"derive":[81],"algorithm":[84,100],"with":[85],"best":[87],"qualities":[88],"aforementioned":[91],"algorithms.":[92],"disseminate":[97],"created,":[101],"lessons":[102],"learned,":[103],"future":[105],"work":[106],"be":[108],"done.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}