{"id":"https://openalex.org/W4313492058","doi":"https://doi.org/10.1145/3570991.3571012","title":"Efficient Depth-First Search Approach for Mining Injective General Episodes","display_name":"Efficient Depth-First Search Approach for Mining Injective General Episodes","publication_year":2023,"publication_date":"2023-01-04","ids":{"openalex":"https://openalex.org/W4313492058","doi":"https://doi.org/10.1145/3570991.3571012"},"language":"en","primary_location":{"id":"doi:10.1145/3570991.3571012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570991.3571012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)","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/A5080151644","display_name":"Santhosh B. Gandreti","orcid":"https://orcid.org/0000-0003-1009-9254"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Santhosh B. Gandreti","raw_affiliation_strings":["Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110111037","display_name":"P. S. Sastry","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sastry P. S.","raw_affiliation_strings":["Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080151644"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":1.365,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83329932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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":0.9962999820709229,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6549776792526245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6333819031715393},{"id":"https://openalex.org/keywords/injective-function","display_name":"Injective function","score":0.5915895700454712},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5720477104187012},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.46126773953437805},{"id":"https://openalex.org/keywords/efficient-algorithm","display_name":"Efficient algorithm","score":0.45916658639907837},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.4291214346885681},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4227238595485687},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4100153148174286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37856993079185486},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.2948262691497803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2384076714515686}],"concepts":[{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6549776792526245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6333819031715393},{"id":"https://openalex.org/C128107574","wikidata":"https://www.wikidata.org/wiki/Q182003","display_name":"Injective function","level":2,"score":0.5915895700454712},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5720477104187012},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46126773953437805},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.45916658639907837},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.4291214346885681},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4227238595485687},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4100153148174286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37856993079185486},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.2948262691497803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2384076714515686},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":2,"locations":[{"id":"doi:10.1145/3570991.3571012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570991.3571012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)","raw_type":"proceedings-article"},{"id":"pmh:oai::80110","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W188289891","https://openalex.org/W1605031662","https://openalex.org/W2001456586","https://openalex.org/W2003957650","https://openalex.org/W2036514379","https://openalex.org/W2071242348","https://openalex.org/W2094138658","https://openalex.org/W2096126105","https://openalex.org/W2117145599","https://openalex.org/W2129063259","https://openalex.org/W2137502531","https://openalex.org/W2146334655","https://openalex.org/W2156026066","https://openalex.org/W2163470862","https://openalex.org/W2166069657","https://openalex.org/W2200183807","https://openalex.org/W2585438171","https://openalex.org/W2804147849","https://openalex.org/W2806559507","https://openalex.org/W2922053267","https://openalex.org/W2925090368","https://openalex.org/W4243706489","https://openalex.org/W4288598360","https://openalex.org/W4300005065","https://openalex.org/W4395475740","https://openalex.org/W7014950019"],"related_works":["https://openalex.org/W2357575675","https://openalex.org/W2365953361","https://openalex.org/W2368974936","https://openalex.org/W2385402965","https://openalex.org/W2369752857","https://openalex.org/W2351763677","https://openalex.org/W4249181092","https://openalex.org/W2359811141","https://openalex.org/W1971515104","https://openalex.org/W2363745908"],"abstract_inverted_index":{"Frequent":[0],"episode":[1],"mining":[2,77],"is":[3,154],"useful":[4],"for":[5,64,76,90,114],"finding":[6],"temporal":[7,25,102],"patterns":[8],"in":[9,27,34,118],"sequential":[10],"data.":[11,29,103],"Episodes":[12],"represent":[13,99],"partially":[14],"ordered":[15],"sets":[16],"of":[17,41,67,94,132],"event-types":[18],"and":[19,85,129,140,157],"frequently":[20],"occurring":[21],"episodes":[22,43,51,54,79,96,117],"can":[23],"capture":[24],"dependencies":[26],"the":[28,35,47,65,100,126,130,137,152,162],"There":[30],"are":[31,53,60],"many":[32],"algorithms":[33,63],"literature":[36],"that":[37,44,97,151],"find":[38],"a":[39,82,86,92,119],"subset":[40,93],"frequent":[42,144],"best":[45,98],"summarize":[46],"data":[48],"using":[49],"serial":[50],"(which":[52],"with":[55,161],"total":[56],"order).":[57],"But":[58],"there":[59],"no":[61],"such":[62],"case":[66],"general":[68,78,95,115],"episodes.":[69,145],"An":[70],"efficient":[71,110,158],"Depth-First":[72],"search":[73,138],"(DFS)":[74],"approach":[75],"would":[80],"be":[81],"crucial":[83],"tool":[84],"necessary":[87],"first":[88],"step":[89],"generating":[91],"given":[101],"In":[104],"this":[105],"paper,":[106],"we":[107,149],"present":[108],"an":[109],"algorithm":[111,123,153],"to":[112,135],"mine":[113],"injective":[116],"DFS":[120],"manner.":[121],"Our":[122],"uses":[124],"both":[125],"apriori":[127],"principle":[128],"idea":[131],"bidirectional":[133],"evidence":[134],"prune":[136],"space":[139],"it":[141],"returns":[142],"closed":[143],"Through":[146],"simulation":[147],"studies,":[148],"show":[150],"quite":[155],"effective":[156],"when":[159],"compared":[160],"existing":[163],"algorithms.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}