{"id":"https://openalex.org/W2274829541","doi":"https://doi.org/10.1145/2939672.2939787","title":"A Subsequence Interleaving Model for Sequential Pattern Mining","display_name":"A Subsequence Interleaving Model for Sequential Pattern Mining","publication_year":2016,"publication_date":"2016-08-08","ids":{"openalex":"https://openalex.org/W2274829541","doi":"https://doi.org/10.1145/2939672.2939787","mag":"2274829541"},"language":"en","primary_location":{"id":"doi:10.1145/2939672.2939787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2939672.2939787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1602.05012","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jaroslav Fowkes","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jaroslav Fowkes","raw_affiliation_strings":["University of Edinburgh, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":null,"display_name":"Charles Sutton","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Charles Sutton","raw_affiliation_strings":["University of Edinburgh, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":11.7822,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.98285827,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"835","last_page":"844"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.679099977016449},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.6787999868392944},{"id":"https://openalex.org/keywords/interleaving","display_name":"Interleaving","score":0.5715000033378601},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.505299985408783},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.49779999256134033},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.4733000099658966},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4722999930381775},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4717000126838684},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.45500001311302185}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.679099977016449},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.6787999868392944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6165000200271606},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5958999991416931},{"id":"https://openalex.org/C28034677","wikidata":"https://www.wikidata.org/wiki/Q17092530","display_name":"Interleaving","level":2,"score":0.5715000033378601},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.505299985408783},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.49779999256134033},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.4733000099658966},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4722999930381775},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4717000126838684},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45500001311302185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42489999532699585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39259999990463257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C105445830","wikidata":"https://www.wikidata.org/wiki/Q6322855","display_name":"K-optimal pattern discovery","level":3,"score":0.302700012922287},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C120098539","wikidata":"https://www.wikidata.org/wiki/Q141001","display_name":"Longest common subsequence problem","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25380000472068787},{"id":"https://openalex.org/C2778220771","wikidata":"https://www.wikidata.org/wiki/Q1522579","display_name":"Substitution (logic)","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.251800000667572}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2939672.2939787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2939672.2939787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1602.05012","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.05012","pdf_url":"https://arxiv.org/pdf/1602.05012","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.ed.ac.uk:publications/66e722ba-b617-4c34-8cd2-ad041b21177e","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/66e722ba-b617-4c34-8cd2-ad041b21177e","pdf_url":"https://www.research.ed.ac.uk/en/publications/66e722ba-b617-4c34-8cd2-ad041b21177e","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fowkes, J & Sutton, C 2016, A Subsequence Interleaving Model for Sequential Pattern Mining. in KDD '16 Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Francisco , United States, pp. 835-844, 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco , California, United States, 13/08/16. https://doi.org/10.1145/2939672.2939787","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1602.05012","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.05012","pdf_url":"https://arxiv.org/pdf/1602.05012","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2114596535","display_name":null,"funder_award_id":"EP/K024043/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W90447038","https://openalex.org/W157603173","https://openalex.org/W193800782","https://openalex.org/W1527164214","https://openalex.org/W2012449655","https://openalex.org/W2049633694","https://openalex.org/W2057147815","https://openalex.org/W2068383400","https://openalex.org/W2096126105","https://openalex.org/W2123442489","https://openalex.org/W2139197368","https://openalex.org/W2140937627","https://openalex.org/W2143996311","https://openalex.org/W2149429918","https://openalex.org/W2153635508","https://openalex.org/W2157054705","https://openalex.org/W2187154138","https://openalex.org/W3003570873","https://openalex.org/W3150565720","https://openalex.org/W4288598360"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"sequential":[1,76,138,176],"pattern":[2,177],"mining":[3,23,178],"methods":[4],"have":[5],"used":[6],"the":[7,24,44,53,73,107,110,156,159,174],"minimum":[8],"description":[9],"length":[10],"(MDL)":[11],"principle":[12],"to":[13,50,70,118],"define":[14],"an":[15,20,82],"encoding":[16,63],"scheme":[17],"which":[18,47,106],"describes":[19],"algorithm":[21,67],"for":[22,52],"most":[25,54,74],"compressing":[26,55],"patterns":[27,58,77,139,160],"in":[28,90,105,149],"a":[29,33,40,61,94,101,113,119,135],"database.":[30],"We":[31,122],"present":[32],"novel":[34],"subsequence":[35],"interleaving":[36],"model":[37,42,92,133],"based":[38],"on":[39,124],"probabilistic":[41],"of":[43,57,85,97,100,112,137,158,173],"sequence":[45],"database,":[46],"allows":[48],"us":[49],"search":[51],"set":[56,136],"without":[59],"designing":[60],"specific":[62],"scheme.":[64],"Our":[65],"proposed":[66],"is":[68,93,164],"able":[69],"efficiently":[71],"mine":[72],"relevant":[75],"and":[78,127,143,147],"rank":[79],"them":[80],"using":[81],"associated":[83],"measure":[84],"interestingness.":[86],"The":[87],"efficient":[88],"inference":[89],"our":[91,98,132,162],"direct":[95],"result":[96],"use":[99],"structural":[102],"expectation-maximization":[103],"framework,":[104],"expectation-step":[108],"takes":[109],"form":[111],"submodular":[114],"optimization":[115],"problem":[116],"subject":[117],"coverage":[120],"constraint.":[121],"show":[123],"both":[125],"synthetic":[126],"real":[128],"world":[129],"datasets":[130],"that":[131,155],"mines":[134],"with":[140],"low":[141],"spuriousness":[142],"redundancy,":[144],"high":[145],"interpretability":[146],"usefulness":[148],"real-world":[150],"applications.":[151],"Furthermore,":[152],"we":[153],"demonstrate":[154],"quality":[157],"from":[161],"approach":[163],"comparable":[165],"to,":[166],"if":[167],"not":[168],"better":[169],"than,":[170],"existing":[171],"state":[172],"art":[175],"algorithms.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}