{"id":"https://openalex.org/W2754988343","doi":"https://doi.org/10.1145/3129536","title":"Bit-Parallel Approximate Matching of Circular Strings with <i>k</i> Mismatches","display_name":"Bit-Parallel Approximate Matching of Circular Strings with <i>k</i> Mismatches","publication_year":2017,"publication_date":"2017-09-18","ids":{"openalex":"https://openalex.org/W2754988343","doi":"https://doi.org/10.1145/3129536","mag":"2754988343"},"language":"en","primary_location":{"id":"doi:10.1145/3129536","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3129536","pdf_url":null,"source":{"id":"https://openalex.org/S201104086","display_name":"ACM Journal of Experimental Algorithmics","issn_l":"1084-6654","issn":["1084-6654"],"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 Journal of Experimental Algorithmics","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/A5013863946","display_name":"Tommi Hirvola","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tommi Hirvola","raw_affiliation_strings":["Aalto University, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033294598","display_name":"Jorma Tarhio","orcid":"https://orcid.org/0000-0003-2455-1985"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jorma Tarhio","raw_affiliation_strings":["Aalto University, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":0.5981,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76600126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"12"},"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9900000095367432,"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/sublinear-function","display_name":"Sublinear function","score":0.8150203227996826},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.681286096572876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6281614899635315},{"id":"https://openalex.org/keywords/string-searching-algorithm","display_name":"String searching algorithm","score":0.5997669696807861},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.5994613170623779},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5991347432136536},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.550173819065094},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5360797643661499},{"id":"https://openalex.org/keywords/circular-buffer","display_name":"Circular buffer","score":0.47094595432281494},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.45816001296043396},{"id":"https://openalex.org/keywords/approximate-string-matching","display_name":"Approximate string matching","score":0.4369350075721741},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3569473624229431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.256586492061615},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17904219031333923},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09266418218612671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08036363124847412}],"concepts":[{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.8150203227996826},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.681286096572876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6281614899635315},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.5997669696807861},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.5994613170623779},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5991347432136536},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.550173819065094},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5360797643661499},{"id":"https://openalex.org/C85686653","wikidata":"https://www.wikidata.org/wiki/Q1224994","display_name":"Circular buffer","level":2,"score":0.47094595432281494},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.45816001296043396},{"id":"https://openalex.org/C32610155","wikidata":"https://www.wikidata.org/wiki/Q1798621","display_name":"Approximate string matching","level":3,"score":0.4369350075721741},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3569473624229431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.256586492061615},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17904219031333923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09266418218612671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08036363124847412},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3129536","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3129536","pdf_url":null,"source":{"id":"https://openalex.org/S201104086","display_name":"ACM Journal of Experimental Algorithmics","issn_l":"1084-6654","issn":["1084-6654"],"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 Journal of Experimental Algorithmics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W260678274","https://openalex.org/W938539187","https://openalex.org/W1519856633","https://openalex.org/W1520663999","https://openalex.org/W1600024060","https://openalex.org/W1638215063","https://openalex.org/W1877114054","https://openalex.org/W1964638897","https://openalex.org/W1967449074","https://openalex.org/W1981409766","https://openalex.org/W1990061958","https://openalex.org/W2001496424","https://openalex.org/W2004120611","https://openalex.org/W2028279045","https://openalex.org/W2028851090","https://openalex.org/W2032377275","https://openalex.org/W2037659439","https://openalex.org/W2041588631","https://openalex.org/W2044074710","https://openalex.org/W2073531516","https://openalex.org/W2092587157","https://openalex.org/W2098636590","https://openalex.org/W2125979814","https://openalex.org/W2141208059","https://openalex.org/W2154310778","https://openalex.org/W2154793921","https://openalex.org/W2212105551","https://openalex.org/W2318146138","https://openalex.org/W2508238617"],"related_works":["https://openalex.org/W2371263218","https://openalex.org/W2257399947","https://openalex.org/W3145288231","https://openalex.org/W2502807948","https://openalex.org/W2386746909","https://openalex.org/W2037600093","https://openalex.org/W2178786736","https://openalex.org/W2141423589","https://openalex.org/W2378689532","https://openalex.org/W2245915510"],"abstract_inverted_index":{"We":[0,53],"consider":[1],"approximate":[2,46,116],"string":[3,118],"matching":[4,49,119],"of":[5,10,13,16,45,79],"a":[6,14,27,32],"circular":[7,47,99,117],"pattern":[8,15,34,48],"consisting":[9],"the":[11,43,56,77,80,88,93,111],"rotations":[12],"length":[17],"m":[18,62,139],".":[19],"From":[20],"SBNDM":[21],"and":[22,140],"Tuned":[23],"Shift-Add,":[24],"we":[25],"derive":[26],"sublinear-time":[28],"algorithm":[29,97,109],"for":[30,61,98,115,133],"searching":[31],"noncircular":[33],"with":[35,50],"k":[36,51,66,95,137],"allowed":[37],"mismatches,":[38],"which":[39,124],"is":[40,76,110],"extended":[41],"to":[42],"problem":[44],"mismatches.":[52],"prove":[54],"that":[55,92],"presented":[57],"algorithms":[58],"are":[59],"average-optimal":[60],"\u22c5\u2308log":[63],"2":[64],"(":[65,71],"+1)+1":[67],"\u2309":[68],"=":[69],"O":[70],"w":[72,75],"),":[73],"where":[74],"size":[78],"computer":[81],"word":[82],"in":[83,104,120],"bits.":[84],"Experiments":[85],"conducted":[86],"under":[87],"aforementioned":[89],"condition":[90],"show":[91],"new":[94],"-mismatches":[96],"strings":[100],"outperforms":[101],"previous":[102],"solutions":[103],"practice.":[105],"In":[106],"particular,":[107],"our":[108],"first":[112],"nonfiltering":[113],"method":[114],"sublinear":[121],"average":[122],"time,":[123],"makes":[125],"it":[126],"more":[127],"suitable":[128],"than":[129],"earlier":[130],"filtering":[131],"methods":[132],"high":[134],"error":[135],"levels":[136],"/":[138],"small":[141],"alphabets.":[142]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
