{"id":"https://openalex.org/W1989392187","doi":"https://doi.org/10.1145/1807085.1807090","title":"Transducing Markov sequences","display_name":"Transducing Markov sequences","publication_year":2010,"publication_date":"2010-06-06","ids":{"openalex":"https://openalex.org/W1989392187","doi":"https://doi.org/10.1145/1807085.1807090","mag":"1989392187"},"language":"en","primary_location":{"id":"doi:10.1145/1807085.1807090","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807085.1807090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems","raw_type":"proceedings-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/A5006706357","display_name":"Benny Kimelfeld","orcid":"https://orcid.org/0000-0002-7156-1572"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benny Kimelfeld","raw_affiliation_strings":["IBM Research - Almaden, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103852640","display_name":"Christopher R\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher R\u00e9","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006706357"],"corresponding_institution_ids":["https://openalex.org/I4210085935"],"apc_list":null,"apc_paid":null,"fwci":3.6084,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92815956,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9998000264167786,"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":0.9998000264167786,"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/T12029","display_name":"DNA and Biological Computing","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6740297079086304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6245484948158264},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.56270432472229},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5362047553062439},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5286973714828491},{"id":"https://openalex.org/keywords/enumeration","display_name":"Enumeration","score":0.5069873332977295},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5055868625640869},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4963908791542053},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47692129015922546},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.4743938446044922},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.46522021293640137},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.46438324451446533},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44974851608276367},{"id":"https://openalex.org/keywords/regular-expression","display_name":"Regular expression","score":0.44414281845092773},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.429019570350647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30677565932273865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27297458052635193},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.26149481534957886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11960721015930176}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6740297079086304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245484948158264},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.56270432472229},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5362047553062439},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5286973714828491},{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.5069873332977295},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5055868625640869},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4963908791542053},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47692129015922546},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.4743938446044922},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.46522021293640137},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.46438324451446533},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44974851608276367},{"id":"https://openalex.org/C121329065","wikidata":"https://www.wikidata.org/wiki/Q185612","display_name":"Regular expression","level":2,"score":0.44414281845092773},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.429019570350647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30677565932273865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27297458052635193},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.26149481534957886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11960721015930176},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1807085.1807090","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807085.1807090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W174869497","https://openalex.org/W1486776102","https://openalex.org/W1534812271","https://openalex.org/W1593303510","https://openalex.org/W1974688422","https://openalex.org/W1978544932","https://openalex.org/W1984407615","https://openalex.org/W1989783863","https://openalex.org/W1996544809","https://openalex.org/W1998076865","https://openalex.org/W2000098237","https://openalex.org/W2006912660","https://openalex.org/W2007940874","https://openalex.org/W2008974204","https://openalex.org/W2009570821","https://openalex.org/W2011087880","https://openalex.org/W2011282943","https://openalex.org/W2018004164","https://openalex.org/W2022841964","https://openalex.org/W2022987501","https://openalex.org/W2029138824","https://openalex.org/W2032420706","https://openalex.org/W2041358936","https://openalex.org/W2048685245","https://openalex.org/W2050154914","https://openalex.org/W2054693743","https://openalex.org/W2058241717","https://openalex.org/W2064838169","https://openalex.org/W2072242455","https://openalex.org/W2078686663","https://openalex.org/W2081254453","https://openalex.org/W2096219859","https://openalex.org/W2097995023","https://openalex.org/W2104488088","https://openalex.org/W2107105629","https://openalex.org/W2112070477","https://openalex.org/W2112630366","https://openalex.org/W2116702966","https://openalex.org/W2118178019","https://openalex.org/W2121904574","https://openalex.org/W2124324894","https://openalex.org/W2125806118","https://openalex.org/W2125838338","https://openalex.org/W2127057359","https://openalex.org/W2129450818","https://openalex.org/W2129955956","https://openalex.org/W2131058166","https://openalex.org/W2140757415","https://openalex.org/W2141795247","https://openalex.org/W2147880316","https://openalex.org/W2150142469","https://openalex.org/W2151530857","https://openalex.org/W2156515921","https://openalex.org/W2156776134","https://openalex.org/W2165676867","https://openalex.org/W2171776999","https://openalex.org/W2666600683","https://openalex.org/W4245668478"],"related_works":["https://openalex.org/W108845024","https://openalex.org/W2406961474","https://openalex.org/W4300125793","https://openalex.org/W2578985712","https://openalex.org/W2952598754","https://openalex.org/W3042106073","https://openalex.org/W2143566611","https://openalex.org/W588267724","https://openalex.org/W2057205169","https://openalex.org/W2026779193"],"abstract_inverted_index":{"A":[0],"Markov":[1,39],"sequence":[2,40],"is":[3,14,41,66,71,83,115,123,136,149,173],"a":[4,17,38,49,103,132,139,146,162],"basic":[5],"statistical":[6],"model":[7],"representing":[8],"uncertain":[9],"sequential":[10],"data,":[11],"and":[12,31,131,168,171],"it":[13,114,172],"used":[15],"within":[16],"plethora":[18],"of":[19,36,47,62,73,78,86,92,98,156,161],"applications,":[20],"including":[21],"speech":[22],"recognition,":[23],"image":[24],"processing,":[25],"computational":[26],"biology,":[27],"radio-frequency":[28],"identification":[29],"(RFID),":[30],"information":[32],"extraction.":[33],"The":[34,68,81],"problem":[35,70],"querying":[37,48],"studied":[42],"under":[43],"the":[44,60,75,84,87,90,96,99],"conventional":[45],"semantics":[46],"probabilistic":[50],"database,":[51],"where":[52],"queries":[53],"are":[54],"formulated":[55],"as":[56,102],"finite-state":[57],"transducers.":[58],"Specifically,":[59],"complexity":[61],"two":[63],"main":[64],"problems":[65],"analyzed.":[67],"first":[69],"that":[72,117,158,175],"computing":[74],"confidence":[76,94],"(probability)":[77],"an":[79,108],"answer.":[80],"second":[82],"enumeration":[85,118],"answers":[88,101],"in":[89,107,119],"order":[91,110,122],"decreasing":[93],"(with":[95],"generation":[97],"top-k":[100],"special":[104,147],"case),":[105],"or":[106],"approximate":[109],"thereof.":[111],"In":[112],"particular,":[113],"shown":[116,174],"any":[120],"sub-exponential-approximate":[121],"generally":[124],"intractable":[125],"(even":[126],"for":[127],"some":[128],"fixed":[129],"transducers),":[130],"matching":[133],"upper":[134],"bound":[135],"obtained":[137],"through":[138],"proposed":[140],"heuristic.":[141],"Due":[142],"to":[143,151,166],"this":[144],"hardness,":[145],"consideration":[148],"given":[150],"restricted":[152],"(yet":[153],"common)":[154],"classes":[155,177],"transducers":[157],"extract":[159],"matches":[160],"regular":[163],"expression":[164],"(subject":[165],"prefix":[167],"suffix":[169],"constraints),":[170],"these":[176],"are,":[178],"indeed,":[179],"significantly":[180],"more":[181],"tractable.":[182]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
