{"id":"https://openalex.org/W4416976726","doi":"https://doi.org/10.1007/s00453-026-01398-0","title":"Compressed Dictionary Matching on Run-Length Encoded Strings","display_name":"Compressed Dictionary Matching on Run-Length Encoded Strings","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W4416976726","doi":"https://doi.org/10.1007/s00453-026-01398-0"},"language":"en","primary_location":{"id":"doi:10.1007/s00453-026-01398-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00453-026-01398-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00453-026-01398-0.pdf","source":{"id":"https://openalex.org/S89324355","display_name":"Algorithmica","issn_l":"0178-4617","issn":["0178-4617","1432-0541"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithmica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00453-026-01398-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083100766","display_name":"Philip Bille","orcid":"https://orcid.org/0000-0002-1120-5154"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Philip Bille","raw_affiliation_strings":["DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark","Technical University of Denmark"],"raw_orcid":"https://orcid.org/0000-0002-1120-5154","affiliations":[{"raw_affiliation_string":"DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]},{"raw_affiliation_string":"Technical University of Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070148734","display_name":"Inge Li G\u00f8rtz","orcid":"https://orcid.org/0000-0002-8322-4952"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Inge Li G\u00f8rtz","raw_affiliation_strings":["DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark","Technical University of Denmark"],"raw_orcid":"https://orcid.org/0000-0002-8322-4952","affiliations":[{"raw_affiliation_string":"DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]},{"raw_affiliation_string":"Technical University of Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021097696","display_name":"Simon J. Puglisi","orcid":"https://orcid.org/0000-0001-7668-7636"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Simon J. Puglisi","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland","University of Helsinki"],"raw_orcid":"https://orcid.org/0000-0001-7668-7636","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]},{"raw_affiliation_string":"University of Helsinki","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048798886","display_name":"Simon R. Tarnow","orcid":"https://orcid.org/0009-0002-4293-6475"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Simon Rumle Tarnow","raw_affiliation_strings":["DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark","Technical University of Denmark"],"raw_orcid":"https://orcid.org/0009-0002-4293-6475","affiliations":[{"raw_affiliation_string":"DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]},{"raw_affiliation_string":"Technical University of Denmark","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083100766"],"corresponding_institution_ids":["https://openalex.org/I96673099"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01908186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"88","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9758999943733215,"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":0.9758999943733215,"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":0.005400000140070915,"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/T13664","display_name":"Genome Rearrangement Algorithms","score":0.0035000001080334187,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/string","display_name":"String (physics)","score":0.6455000042915344},{"id":"https://openalex.org/keywords/string-searching-algorithm","display_name":"String searching algorithm","score":0.6288999915122986},{"id":"https://openalex.org/keywords/commentz-walter-algorithm","display_name":"Commentz-Walter algorithm","score":0.5860999822616577},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5521000027656555},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5454000234603882},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.5342000126838684},{"id":"https://openalex.org/keywords/compressed-suffix-array","display_name":"Compressed suffix array","score":0.5077000260353088},{"id":"https://openalex.org/keywords/approximate-string-matching","display_name":"Approximate string matching","score":0.4778999984264374},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45509999990463257}],"concepts":[{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.6455000042915344},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.6288999915122986},{"id":"https://openalex.org/C13052355","wikidata":"https://www.wikidata.org/wiki/Q5152399","display_name":"Commentz-Walter algorithm","level":4,"score":0.5860999822616577},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5521000027656555},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5454000234603882},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.5342000126838684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5170000195503235},{"id":"https://openalex.org/C100903775","wikidata":"https://www.wikidata.org/wiki/Q5157028","display_name":"Compressed suffix array","level":4,"score":0.5077000260353088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5027999877929688},{"id":"https://openalex.org/C32610155","wikidata":"https://www.wikidata.org/wiki/Q1798621","display_name":"Approximate string matching","level":3,"score":0.4778999984264374},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45509999990463257},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4480000138282776},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4113999903202057},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4068000018596649},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3822000026702881},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C80701825","wikidata":"https://www.wikidata.org/wiki/Q895984","display_name":"Boyer\u2013Moore string search algorithm","level":5,"score":0.35040000081062317},{"id":"https://openalex.org/C63553672","wikidata":"https://www.wikidata.org/wiki/Q581168","display_name":"Binary logarithm","level":2,"score":0.3495999872684479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34689998626708984},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3093000054359436},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30079999566078186},{"id":"https://openalex.org/C130187892","wikidata":"https://www.wikidata.org/wiki/Q133327","display_name":"Spacetime","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C22820288","wikidata":"https://www.wikidata.org/wiki/Q9050568","display_name":"String metric","level":4,"score":0.2709999978542328}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00453-026-01398-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00453-026-01398-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00453-026-01398-0.pdf","source":{"id":"https://openalex.org/S89324355","display_name":"Algorithmica","issn_l":"0178-4617","issn":["0178-4617","1432-0541"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithmica","raw_type":"journal-article"},{"id":"doi:10.21203/rs.3.rs-7959005/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-7959005/v1","pdf_url":"https://www.researchsquare.com/article/rs-7959005/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.1007/s00453-026-01398-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00453-026-01398-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00453-026-01398-0.pdf","source":{"id":"https://openalex.org/S89324355","display_name":"Algorithmica","issn_l":"0178-4617","issn":["0178-4617","1432-0541"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithmica","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416976726.pdf","grobid_xml":"https://content.openalex.org/works/W4416976726.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W8290509","https://openalex.org/W192748094","https://openalex.org/W1486435498","https://openalex.org/W1501342714","https://openalex.org/W1569173524","https://openalex.org/W1577337656","https://openalex.org/W1597508325","https://openalex.org/W1600162087","https://openalex.org/W1652325545","https://openalex.org/W1800055261","https://openalex.org/W1832313123","https://openalex.org/W1909754222","https://openalex.org/W1968328322","https://openalex.org/W1978055030","https://openalex.org/W1982024542","https://openalex.org/W1984789718","https://openalex.org/W1985108724","https://openalex.org/W1986079495","https://openalex.org/W1993868627","https://openalex.org/W2001496424","https://openalex.org/W2003097453","https://openalex.org/W2004654138","https://openalex.org/W2025470700","https://openalex.org/W2049774319","https://openalex.org/W2055417893","https://openalex.org/W2058910920","https://openalex.org/W2069001533","https://openalex.org/W2074456731","https://openalex.org/W2076009323","https://openalex.org/W2085218027","https://openalex.org/W2090021115","https://openalex.org/W2099964107","https://openalex.org/W2103850023","https://openalex.org/W2125027776","https://openalex.org/W2135755078","https://openalex.org/W2139715833","https://openalex.org/W2143410463","https://openalex.org/W2160748429","https://openalex.org/W2171866929","https://openalex.org/W2901045411","https://openalex.org/W2964091527","https://openalex.org/W3137072739","https://openalex.org/W3151256199","https://openalex.org/W4244680263"],"related_works":[],"abstract_inverted_index":{"<title>Abstract</title>":[0],"Given":[1],"a":[2,16,188,198],"set":[3],"of":[4,30,76,88,95,110,116,146,148,192],"pattern":[5,32,46],"strings":[6,47],"P":[7,91,120],"=":[8],"{P1,":[9],"P2,":[10],".":[11,12,13],"Pk}":[14],"and":[15,48,57,67,71,82,92,101,104,121,137,197],"text":[17,50,97],"string":[18,51,98,201],"S,":[19,99,122],"the":[20,37,41,45,49,58,63,74,77,85,89,93,96,107,113,117,143,154,159,166,193],"classic":[21,194],"dictionary":[22,38],"matching":[23],"problem":[24,39,64],"is":[25,60,127,142,153,171],"to":[26,61,158,183],"report":[27],"all":[28],"occurrences":[29,147],"each":[31],"in":[33,40,73,112,119,150,207],"S.":[34,151],"We":[35,178],"study":[36],"compressed":[42,53,78,190],"setting,":[43],"where":[44,140],"are":[52],"using":[54],"run-length":[55,114],"encoding,":[56],"goal":[59],"solve":[62],"without":[65],"decompression":[66],"achieve":[68,184],"efficient":[69,200],"time":[70,169],"space":[72],"size":[75],"strings.":[79,210],"Let":[80],"m":[81,103],"n":[83,105],"be":[84,106],"total":[86,108,144],"length":[87,94],"patterns":[90,118,149],"respectively,":[100],"let":[102],"number":[109,145],"runs":[111],"encoding":[115],"respectively.":[123],"Our":[124],"main":[125],"result":[126],"an":[128,174],"algorithm":[129],"that":[130,203],"achieves":[131],"O((m+n)":[132],"log":[133,175],"logm+occ)":[134],"expected":[135],"time,":[136],"O(m)":[138],"space,":[139],"occ":[141],"This":[152],"first":[155],"non-trivial":[156],"solution":[157,163],"problem.":[160],"Since":[161],"any":[162],"must":[164],"read":[165],"input,":[167],"our":[168,185],"bound":[170],"optimal":[172],"within":[173],"logm":[176],"factor.":[177],"introduce":[179],"several":[180],"new":[181,189,199],"techniques":[182],"bounds,":[186],"including":[187],"representation":[191],"Aho-Corasick":[195],"automaton":[196],"index":[202],"supports":[204],"fast":[205],"queries":[206],"runlength":[208],"encoded":[209]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
