{"id":"https://openalex.org/W2785441506","doi":"https://doi.org/10.1145/3051126","title":"GrammarViz 3.0","display_name":"GrammarViz 3.0","publication_year":2018,"publication_date":"2018-02-13","ids":{"openalex":"https://openalex.org/W2785441506","doi":"https://doi.org/10.1145/3051126","mag":"2785441506"},"language":"en","primary_location":{"id":"doi:10.1145/3051126","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3051126","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/1432619","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036648192","display_name":"Pavel Senin","orcid":"https://orcid.org/0000-0001-5517-7768"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pavel Senin","raw_affiliation_strings":["Los Alamos National Laboratory, University Of Hawai\u2018i at M\u0101noa, Los Alamos, NM"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, University Of Hawai\u2018i at M\u0101noa, Los Alamos, NM","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558875","display_name":"Jessica Lin","orcid":"https://orcid.org/0000-0002-4887-0692"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica Lin","raw_affiliation_strings":["George Mason University, Fairfax, Virginia"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, Virginia","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754899","display_name":"Xing Wang","orcid":"https://orcid.org/0009-0007-2947-7143"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xing Wang","raw_affiliation_strings":["George Mason University, Fairfax, Virginia"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, Virginia","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114778025","display_name":"Tim Oates","orcid":"https://orcid.org/0000-0002-8655-747X"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tim Oates","raw_affiliation_strings":["University Of Maryland, Baltimore County, Baltimore"],"affiliations":[{"raw_affiliation_string":"University Of Maryland, Baltimore County, Baltimore","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044136768","display_name":"Sunil Gandhi","orcid":"https://orcid.org/0000-0001-9493-2340"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sunil Gandhi","raw_affiliation_strings":["University Of Maryland, Baltimore County, Baltimore"],"affiliations":[{"raw_affiliation_string":"University Of Maryland, Baltimore County, Baltimore","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033884416","display_name":"Arnold P. Boedihardjo","orcid":null},"institutions":[{"id":"https://openalex.org/I87303767","display_name":"U.S. Army Engineer Research and Development Center","ror":"https://ror.org/027mhn368","country_code":"US","type":"facility","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1306490931","https://openalex.org/I1330347796","https://openalex.org/I87303767"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arnold P. Boedihardjo","raw_affiliation_strings":["US Army Engineer Research and Development Center, Washington, DC"],"affiliations":[{"raw_affiliation_string":"US Army Engineer Research and Development Center, Washington, DC","institution_ids":["https://openalex.org/I87303767"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108652212","display_name":"Crystal Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I87303767","display_name":"U.S. Army Engineer Research and Development Center","ror":"https://ror.org/027mhn368","country_code":"US","type":"facility","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1306490931","https://openalex.org/I1330347796","https://openalex.org/I87303767"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Crystal Chen","raw_affiliation_strings":["US Army Engineer Research and Development Center, Washington, DC"],"affiliations":[{"raw_affiliation_string":"US Army Engineer Research and Development Center, Washington, DC","institution_ids":["https://openalex.org/I87303767"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012290838","display_name":"Susan Frankenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I87303767","display_name":"U.S. Army Engineer Research and Development Center","ror":"https://ror.org/027mhn368","country_code":"US","type":"facility","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1306490931","https://openalex.org/I1330347796","https://openalex.org/I87303767"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susan Frankenstein","raw_affiliation_strings":["US Army Engineer Research and Development Center, Washington, DC"],"affiliations":[{"raw_affiliation_string":"US Army Engineer Research and Development Center, Washington, DC","institution_ids":["https://openalex.org/I87303767"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5036648192"],"corresponding_institution_ids":["https://openalex.org/I1343871089"],"apc_list":null,"apc_paid":null,"fwci":5.4719,"has_fulltext":true,"cited_by_count":57,"citation_normalized_percentile":{"value":0.96579529,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"1","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9782000184059143,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7021366953849792},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5558091402053833},{"id":"https://openalex.org/keywords/variable-elimination","display_name":"Variable elimination","score":0.4625873267650604},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.44720733165740967},{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"Minimum description length","score":0.44716769456863403},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4466248154640198},{"id":"https://openalex.org/keywords/interleaving","display_name":"Interleaving","score":0.44324809312820435},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4294041395187378},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.4275885820388794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4221705198287964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38674378395080566},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3581377863883972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.304173082113266},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11934927105903625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021366953849792},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5558091402053833},{"id":"https://openalex.org/C169272836","wikidata":"https://www.wikidata.org/wiki/Q5668307","display_name":"Variable elimination","level":3,"score":0.4625873267650604},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.44720733165740967},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.44716769456863403},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4466248154640198},{"id":"https://openalex.org/C28034677","wikidata":"https://www.wikidata.org/wiki/Q17092530","display_name":"Interleaving","level":2,"score":0.44324809312820435},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4294041395187378},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.4275885820388794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4221705198287964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38674378395080566},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3581377863883972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.304173082113266},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11934927105903625},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":2,"locations":[{"id":"doi:10.1145/3051126","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3051126","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},{"id":"pmh:oai:osti.gov:1432619","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1432619","pdf_url":"https://www.osti.gov/servlets/purl/1432619","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1432619","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1432619","pdf_url":"https://www.osti.gov/servlets/purl/1432619","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1872210597","display_name":null,"funder_award_id":"DE-AC52-06NA2539","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G2031045238","display_name":null,"funder_award_id":"DE-AC52-06NA253","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G2613504715","display_name":null,"funder_award_id":"DE-AC52-06NA25396","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G359075050","display_name":null,"funder_award_id":"DE-AC52-06NA25396","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G3700687868","display_name":null,"funder_award_id":"AC52-06NA25396","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G3708194512","display_name":"III: Small: Collaborative Research: Finding and Exploiting Hierarchical Structure in Time Series Using Statistical Language Processing Methods","funder_award_id":"1218325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5083158263","display_name":null,"funder_award_id":"DE-AC52-06NA25396","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5657628048","display_name":null,"funder_award_id":"AC52-06NA25396","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7541635063","display_name":null,"funder_award_id":"1218325 and 1218318","funder_id":"https://openalex.org/F4320309856","funder_display_name":"National Youth Science Foundation"},{"id":"https://openalex.org/G75892134","display_name":null,"funder_award_id":"DE-AC52-06NA25396","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8527529014","display_name":null,"funder_award_id":"DE-AC52-06NA2539","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G868608710","display_name":"III: Small: Collaborative Research: Finding and Exploiting Hierarchical Structure in Time Series Using Statistical Language Processing Methods","funder_award_id":"1218318","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G895001607","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320309856","display_name":"National Youth Science Foundation","ror":"https://ror.org/054yz2f06"},{"id":"https://openalex.org/F4320332369","display_name":"National Nuclear Security Administration","ror":"https://ror.org/03sk1we31"},{"id":"https://openalex.org/F4320338304","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2785441506.pdf","grobid_xml":"https://content.openalex.org/works/W2785441506.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W34835763","https://openalex.org/W76064434","https://openalex.org/W79168991","https://openalex.org/W109020964","https://openalex.org/W129077257","https://openalex.org/W187473460","https://openalex.org/W234979828","https://openalex.org/W1480780803","https://openalex.org/W1483082516","https://openalex.org/W1513731586","https://openalex.org/W1528146397","https://openalex.org/W1533752709","https://openalex.org/W1562291184","https://openalex.org/W1595324333","https://openalex.org/W1638203394","https://openalex.org/W1976149088","https://openalex.org/W1989037929","https://openalex.org/W2006761268","https://openalex.org/W2006844281","https://openalex.org/W2009570821","https://openalex.org/W2015397797","https://openalex.org/W2026493302","https://openalex.org/W2028904582","https://openalex.org/W2035588418","https://openalex.org/W2044338321","https://openalex.org/W2048568229","https://openalex.org/W2049704739","https://openalex.org/W2054978951","https://openalex.org/W2067580807","https://openalex.org/W2096126105","https://openalex.org/W2104410989","https://openalex.org/W2105510466","https://openalex.org/W2105686649","https://openalex.org/W2110934250","https://openalex.org/W2111263072","https://openalex.org/W2113004376","https://openalex.org/W2113741278","https://openalex.org/W2124192284","https://openalex.org/W2127100972","https://openalex.org/W2138538779","https://openalex.org/W2152004768","https://openalex.org/W2152671946","https://openalex.org/W2153982189","https://openalex.org/W2158454296","https://openalex.org/W2160119185","https://openalex.org/W2162800060","https://openalex.org/W2164274563","https://openalex.org/W2166064672","https://openalex.org/W2166559705","https://openalex.org/W2168729417","https://openalex.org/W2186775481","https://openalex.org/W2402068992","https://openalex.org/W2406760356","https://openalex.org/W2496293167","https://openalex.org/W2998115270","https://openalex.org/W2998574808","https://openalex.org/W3003570873","https://openalex.org/W3003623942","https://openalex.org/W3123545922","https://openalex.org/W3141164029","https://openalex.org/W4233459951","https://openalex.org/W4256610973","https://openalex.org/W4288598360","https://openalex.org/W4300323401"],"related_works":["https://openalex.org/W1655266410","https://openalex.org/W2389051085","https://openalex.org/W2330343234","https://openalex.org/W1901012776","https://openalex.org/W2463883322","https://openalex.org/W2229382548","https://openalex.org/W2391789612","https://openalex.org/W4298161103","https://openalex.org/W2949323354","https://openalex.org/W1876515821"],"abstract_inverted_index":{"The":[0,152],"problems":[1],"of":[2,20,71,75,113,119,138,155],"recurrent":[3,196],"and":[4,13,48,55,103,117,141,172,191,197],"anomalous":[5,198],"pattern":[6,31,95,150,199],"discovery":[7,96,118,170],"in":[8,24,53,80,123],"time":[9,82,93,148,167,194],"series,":[10],"e.g.,":[11],"motifs":[12],"discords,":[14],"respectively,":[15],"have":[16,45,49,88],"received":[17],"a":[18,81],"lot":[19],"attention":[21],"from":[22],"researchers":[23],"the":[25,30,43,110,114,120,156,166,185,193],"past":[26],"decade.":[27],"However,":[28],"since":[29],"search":[32,115],"space":[33,116],"is":[34,60],"usually":[35],"intractable,":[36],"most":[37],"existing":[38],"detection":[39],"algorithms":[40,90,140],"require":[41],"that":[42,97,135,164,182],"patterns":[44,70,122],"discriminative":[46],"characteristics":[47],"its":[50],"length":[51],"known":[52],"advance":[54],"provided":[56],"as":[57],"input,":[58],"which":[59],"an":[61,159,174],"unreasonable":[62],"requirement":[63],"for":[64,91,145,177],"many":[65],"real-world":[66],"problems.":[67],"In":[68,126],"addition,":[69],"similar":[72],"structure,":[73],"but":[74],"different":[76],"lengths":[77],"may":[78],"co-exist":[79],"series.":[83],"Addressing":[84],"these":[85],"issues,":[86],"we":[87,129],"developed":[89],"variable-length":[92,147],"series":[94,149,168,195],"are":[98],"based":[99],"on":[100],"symbolic":[101],"discretization":[102,179],"grammar":[104,161],"inference\u2014two":[105],"techniques":[106],"whose":[107],"combination":[108],"enables":[109],"structured":[111],"reduction":[112],"candidate":[121],"linear":[124],"time.":[125],"this":[127],"work,":[128],"present":[130],"GrammarViz":[131],"3.0\u2014a":[132],"software":[133,157],"package":[134],"provides":[136,158],"implementations":[137],"proposed":[139],"graphical":[142],"user":[143],"interface":[144],"interactive":[146],"discovery.":[151,200],"current":[153],"version":[154],"alternative":[160],"inference":[162],"algorithm":[163],"improves":[165],"motif":[169],"workflow,":[171],"introduces":[173],"experimental":[175],"procedure":[176],"automated":[178],"parameter":[180],"selection":[181],"builds":[183],"upon":[184],"minimum":[186],"cardinality":[187],"maximum":[188],"cover":[189],"principle":[190],"aids":[192]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2018-02-23T00:00:00"}