{"id":"https://openalex.org/W2042442617","doi":"https://doi.org/10.1002/(sici)1098-2418(199701/03)10:1/2<169::aid-rsa9>3.0.co;2-t","title":"Analysis of Boyer-Moore-Horspool string-matching heuristic","display_name":"Analysis of Boyer-Moore-Horspool string-matching heuristic","publication_year":2000,"publication_date":"2000-01-13","ids":{"openalex":"https://openalex.org/W2042442617","doi":"https://doi.org/10.1002/(sici)1098-2418(199701/03)10:1/2<169::aid-rsa9>3.0.co;2-t","mag":"2042442617"},"language":"en","primary_location":{"id":"doi:10.1002/(sici)1098-2418(199701/03)10:1/2<169::aid-rsa9>3.0.co;2-t","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1098-2418(199701/03)10:1/2<169::aid-rsa9>3.0.co;2-t","pdf_url":null,"source":{"id":"https://openalex.org/S59667848","display_name":"Random Structures and Algorithms","issn_l":"1042-9832","issn":["1042-9832","1098-2418"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Random Structures &amp; Algorithms","raw_type":"journal-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/A5051369458","display_name":"Hosam M. Mahmoud","orcid":"https://orcid.org/0000-0003-0962-9406"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hosam M. Mahmoud","raw_affiliation_strings":["Department of Statistics, The George Washington University, Washington, DC 20052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, The George Washington University, Washington, DC 20052","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026647101","display_name":"R. T. Smythe","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert T. Smythe","raw_affiliation_strings":["Department of Statistics, The George Washington University, Washington, DC 20052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, The George Washington University, Washington, DC 20052","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108073314","display_name":"Mireille R\u00e9gnier","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mireille R\u00e9gnier","raw_affiliation_strings":["INRIA, 78153 Le Chesnay, France","INRIA 78153, Le Chesnay, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA, 78153 Le Chesnay, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA 78153, Le Chesnay, France#TAB#","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051369458"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":{"value":4330,"currency":"USD","value_usd":4330},"apc_paid":null,"fwci":1.1179,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.8417363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"1-2","first_page":"169","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9998999834060669,"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":0.9998999834060669,"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/T11567","display_name":"semigroups and automata theory","score":0.9947999715805054,"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/T12029","display_name":"DNA and Biological Computing","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6248226165771484},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5982447862625122},{"id":"https://openalex.org/keywords/moment-generating-function","display_name":"Moment-generating function","score":0.5116484761238098},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4511581361293793},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4500935971736908},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.42293959856033325},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.4166754186153412},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.404634952545166},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3765217065811157},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3210202157497406},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.17381635308265686},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1706063449382782},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1705438792705536}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6248226165771484},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5982447862625122},{"id":"https://openalex.org/C101796028","wikidata":"https://www.wikidata.org/wiki/Q535587","display_name":"Moment-generating function","level":3,"score":0.5116484761238098},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4511581361293793},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4500935971736908},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.42293959856033325},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.4166754186153412},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.404634952545166},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3765217065811157},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3210202157497406},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.17381635308265686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1706063449382782},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1705438792705536},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1002/(sici)1098-2418(199701/03)10:1/2<169::aid-rsa9>3.0.co;2-t","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1098-2418(199701/03)10:1/2<169::aid-rsa9>3.0.co;2-t","pdf_url":null,"source":{"id":"https://openalex.org/S59667848","display_name":"Random Structures and Algorithms","issn_l":"1042-9832","issn":["1042-9832","1098-2418"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Random Structures &amp; Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.52.4035","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.4035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.inria.fr/INRIA/Projects/algo/papers/other/stringmatch.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1979993501","https://openalex.org/W1986106281","https://openalex.org/W2009334077","https://openalex.org/W2796291475"],"related_works":["https://openalex.org/W4224311898","https://openalex.org/W2140857733","https://openalex.org/W2944825971","https://openalex.org/W2997019937","https://openalex.org/W2625143318","https://openalex.org/W2018697056","https://openalex.org/W2096321176","https://openalex.org/W2985832736","https://openalex.org/W2771826620","https://openalex.org/W4232080735"],"abstract_inverted_index":{"We":[0],"investigate":[1],"the":[2,13,25,29,42,51,58,63,66,83,86,90,98,104,107,116,126,131],"probabilistic":[3],"behavior":[4,105],"of":[5,15,53,60,65,72,92,106,130],"a":[6,16,19,70],"string-matching":[7],"heuristic":[8],"used":[9],"for":[10,12],"searching":[11],"occurrences":[14],"pattern":[17,30,62,84],"in":[18,50,57,97,115],"random":[20,61,94],"text.":[21,87],"Our":[22],"investigation":[23],"covers":[24],"two":[26],"cases":[27],"when":[28],"itself":[31],"is":[32,46,79],"fixed":[33,54],"or":[34],"random.":[35],"Under":[36],"suitable":[37],"normalization":[38],"we":[39],"show":[40],"that":[41],"total":[43],"search":[44,67],"time":[45,68],"asymptotically":[47],"normally":[48],"distributed":[49],"case":[52,59],"pattern,":[55],"whereas":[56],"distribution":[64],"becomes":[69],"mixture":[71],"degenerate":[73],"distributions.":[74,128],"An":[75],"instrumental":[76],"recurrence":[77],"equation":[78],"obtained":[80],"by":[81],"shifting":[82],"within":[85],"To":[88],"handle":[89],"sum":[91],"dependent":[93],"variables":[95],"appearing":[96],"recurrence,":[99],"analytic":[100,141],"methods":[101],"based":[102],"on":[103],"shift":[108],"generating":[109],"function":[110],"near":[111],"its":[112],"dominant":[113],"singularity":[114],"complex":[117],"plane":[118],"are":[119],"devised":[120],"to":[121],"yield":[122],"moment":[123],"calculation":[124],"and":[125],"asymptotic":[127],"Adaptation":[129],"standard":[132],"central":[133],"limit":[134],"theorem":[135],"under":[136],"mixing":[137],"conditions":[138],"complements":[139],"our":[140],"toolkit.":[142],"\u00a9":[143],"1997":[144],"John":[145],"Wiley":[146],"&":[147],"Sons,":[148],"Inc.":[149],"Random":[150],"Struct.":[151],"Alg.,":[152],"10,":[153],"169\u2013186":[154],"(1997)":[155]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}