{"id":"https://openalex.org/W3148818504","doi":"https://doi.org/10.1007/978-3-030-73197-7_50","title":"Accurate Cardinality Estimation of Co-occurring Words Using Suffix Trees","display_name":"Accurate Cardinality Estimation of Co-occurring Words Using Suffix Trees","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3148818504","doi":"https://doi.org/10.1007/978-3-030-73197-7_50","mag":"3148818504"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-73197-7_50","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-73197-7_50","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5033855019","display_name":"Jens Willkomm","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jens Willkomm","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033950182","display_name":"Martin Sch\u00e4ler","orcid":"https://orcid.org/0000-0003-1671-6508"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Sch\u00e4ler","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049768806","display_name":"Klemens B\u00f6hm","orcid":"https://orcid.org/0000-0002-1706-1913"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klemens B\u00f6hm","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033855019"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3585,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53031628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"721","last_page":"737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.993399977684021,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/generalized-suffix-tree","display_name":"Generalized suffix tree","score":0.8670617341995239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7622616291046143},{"id":"https://openalex.org/keywords/suffix-tree","display_name":"Suffix tree","score":0.7368636727333069},{"id":"https://openalex.org/keywords/suffix","display_name":"Suffix","score":0.6349711418151855},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6338738203048706},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5201219320297241},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.49041032791137695},{"id":"https://openalex.org/keywords/string-searching-algorithm","display_name":"String searching algorithm","score":0.4378899335861206},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4298892915248871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4042375683784485},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33827221393585205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22403505444526672},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21252155303955078},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.1904173195362091},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.1717599630355835}],"concepts":[{"id":"https://openalex.org/C118146561","wikidata":"https://www.wikidata.org/wiki/Q5532514","display_name":"Generalized suffix tree","level":4,"score":0.8670617341995239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7622616291046143},{"id":"https://openalex.org/C2781166958","wikidata":"https://www.wikidata.org/wiki/Q1426863","display_name":"Suffix tree","level":3,"score":0.7368636727333069},{"id":"https://openalex.org/C2779804580","wikidata":"https://www.wikidata.org/wiki/Q102047","display_name":"Suffix","level":2,"score":0.6349711418151855},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6338738203048706},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5201219320297241},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.49041032791137695},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.4378899335861206},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4298892915248871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4042375683784485},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33827221393585205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22403505444526672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21252155303955078},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.1904173195362091},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.1717599630355835},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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":"doi:10.1007/978-3-030-73197-7_50","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-73197-7_50","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W159319308","https://openalex.org/W400629903","https://openalex.org/W628376345","https://openalex.org/W1484701286","https://openalex.org/W1499516075","https://openalex.org/W1548907175","https://openalex.org/W1574901103","https://openalex.org/W1971900185","https://openalex.org/W1972770363","https://openalex.org/W1980160594","https://openalex.org/W1983437400","https://openalex.org/W1990653637","https://openalex.org/W2000568570","https://openalex.org/W2022858489","https://openalex.org/W2032552117","https://openalex.org/W2033740195","https://openalex.org/W2037192958","https://openalex.org/W2044340178","https://openalex.org/W2048294592","https://openalex.org/W2050635028","https://openalex.org/W2051867864","https://openalex.org/W2060108852","https://openalex.org/W2065954102","https://openalex.org/W2073921136","https://openalex.org/W2075833184","https://openalex.org/W2102841127","https://openalex.org/W2107082304","https://openalex.org/W2107745473","https://openalex.org/W2109262879","https://openalex.org/W2109907545","https://openalex.org/W2123845384","https://openalex.org/W2132823934","https://openalex.org/W2149741699","https://openalex.org/W2167439683","https://openalex.org/W2168165115","https://openalex.org/W2170899819","https://openalex.org/W2189245558","https://openalex.org/W2309121532","https://openalex.org/W2396309311","https://openalex.org/W2602771387","https://openalex.org/W2750614659","https://openalex.org/W2750956025","https://openalex.org/W2808009442","https://openalex.org/W2998249308","https://openalex.org/W4246225718"],"related_works":["https://openalex.org/W96331545","https://openalex.org/W1517600056","https://openalex.org/W1575722140","https://openalex.org/W2036633468","https://openalex.org/W2160738675","https://openalex.org/W1548907175","https://openalex.org/W2003608043","https://openalex.org/W4293529780","https://openalex.org/W3022556214","https://openalex.org/W2405892617"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
