{"id":"https://openalex.org/W2012161479","doi":"https://doi.org/10.1109/icde.2008.4497550","title":"FLAME: Shedding Light on Hidden Frequent Patterns in Sequence Datasets","display_name":"FLAME: Shedding Light on Hidden Frequent Patterns in Sequence Datasets","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2012161479","doi":"https://doi.org/10.1109/icde.2008.4497550","mag":"2012161479"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2008.4497550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102945075","display_name":"Sandeep Tata","orcid":"https://orcid.org/0009-0007-7785-5516"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"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":false,"raw_author_name":"Sandeep Tata","raw_affiliation_strings":["Almaden Research Center, IBM, USA","[Almaden Res. Center, IBM, San Jose, CA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Almaden Research Center, IBM, USA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"[Almaden Res. Center, IBM, San Jose, CA]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069237428","display_name":"Jignesh M. Patel","orcid":"https://orcid.org/0000-0003-3653-2538"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jignesh M. Patel","raw_affiliation_strings":["University of Michigan, USA","University of Michigan. jignesh@eecs.umich.edu#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan. jignesh@eecs.umich.edu#TAB#","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1343","last_page":"1345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"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":0.9995999932289124,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9993000030517578,"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/T11106","display_name":"Data Management and Algorithms","score":0.991599977016449,"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/substring","display_name":"Substring","score":0.8792598247528076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7672987580299377},{"id":"https://openalex.org/keywords/suffix-tree","display_name":"Suffix tree","score":0.7668361663818359},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.6920177340507507},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6398595571517944},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6262654662132263},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6224902868270874},{"id":"https://openalex.org/keywords/suffix","display_name":"Suffix","score":0.5725701451301575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5288988947868347},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.4740214943885803},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.4671095609664917},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4462418258190155},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4325954020023346},{"id":"https://openalex.org/keywords/longest-common-subsequence-problem","display_name":"Longest common subsequence problem","score":0.4198368191719055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4117351174354553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.338127076625824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2596421241760254},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.2215598225593567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11412292718887329},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10618188977241516}],"concepts":[{"id":"https://openalex.org/C182407805","wikidata":"https://www.wikidata.org/wiki/Q2626534","display_name":"Substring","level":3,"score":0.8792598247528076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672987580299377},{"id":"https://openalex.org/C2781166958","wikidata":"https://www.wikidata.org/wiki/Q1426863","display_name":"Suffix tree","level":3,"score":0.7668361663818359},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.6920177340507507},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6398595571517944},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6262654662132263},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6224902868270874},{"id":"https://openalex.org/C2779804580","wikidata":"https://www.wikidata.org/wiki/Q102047","display_name":"Suffix","level":2,"score":0.5725701451301575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5288988947868347},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.4740214943885803},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.4671095609664917},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4462418258190155},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4325954020023346},{"id":"https://openalex.org/C120098539","wikidata":"https://www.wikidata.org/wiki/Q141001","display_name":"Longest common subsequence problem","level":2,"score":0.4198368191719055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4117351174354553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.338127076625824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2596421241760254},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2215598225593567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11412292718887329},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10618188977241516},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2008.4497550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W151863654","https://openalex.org/W1502916507","https://openalex.org/W1580213736","https://openalex.org/W2006761268","https://openalex.org/W2028904582","https://openalex.org/W2105709740","https://openalex.org/W2108706843","https://openalex.org/W2124192284","https://openalex.org/W2125166755","https://openalex.org/W2128091972","https://openalex.org/W2141408320","https://openalex.org/W2149558335","https://openalex.org/W6606194391","https://openalex.org/W6629956336","https://openalex.org/W6634719314","https://openalex.org/W6678205798","https://openalex.org/W6678648623"],"related_works":["https://openalex.org/W2520870971","https://openalex.org/W2950594955","https://openalex.org/W2070949798","https://openalex.org/W4390923554","https://openalex.org/W4385963882","https://openalex.org/W3101942351","https://openalex.org/W2102450363","https://openalex.org/W2162655434","https://openalex.org/W4385904708","https://openalex.org/W2067956663"],"abstract_inverted_index":{"Existing":[0],"database":[1],"sequence":[2,102],"mining":[3,7,81],"algorithms":[4],"focus":[5],"on":[6],"for":[8,11,20,46,66,96],"subsequences.":[9],"However,":[10],"many":[12],"emerging":[13],"applications,":[14],"the":[15,31,60],"subsequence":[16],"model":[17,28,45,54],"is":[18,89],"inadequate":[19],"detecting":[21],"interesting":[22],"patterns.":[23],"Often,":[24],"an":[25,63],"approximate":[26,47,64],"substring":[27],"better":[29],"accommodates":[30],"notion":[32,61],"of":[33,62,69],"a":[34,42,67,75,90],"noisy":[35],"pattern.":[36],"In":[37],"this":[38,53],"paper,":[39],"we":[40],"present":[41,74],"powerful":[43],"new":[44],"pattern":[48,80],"mining.":[49],"We":[50,72],"show":[51],"that":[52,87],"can":[55],"be":[56],"used":[57],"to":[58],"capture":[59],"match":[65],"variety":[68],"different":[70],"applications.":[71],"also":[73],"novel,":[76],"suffix":[77],"tree":[78],"based":[79],"algorithm":[82],"called":[83],"FLAME":[84],"and":[85,93],"demonstrate":[86],"it":[88],"fast,":[91],"accurate,":[92],"scalable":[94],"method":[95],"discovering":[97],"hidden":[98],"patterns":[99],"in":[100],"large":[101],"databases.":[103]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
