{"id":"https://openalex.org/W2100169722","doi":"https://doi.org/10.1145/2339530.2339633","title":"Discovering lag intervals for temporal dependencies","display_name":"Discovering lag intervals for temporal dependencies","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2100169722","doi":"https://doi.org/10.1145/2339530.2339633","mag":"2100169722"},"language":"en","primary_location":{"id":"doi:10.1145/2339530.2339633","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5100723091","display_name":"Liang Tang","orcid":"https://orcid.org/0000-0002-6731-4544"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liang Tang","raw_affiliation_strings":["Florida International University, Miami, FL, USA"],"affiliations":[{"raw_affiliation_string":"Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455259","display_name":"Tao Li","orcid":"https://orcid.org/0000-0001-9277-1539"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Florida International University, Miami, FL, USA"],"affiliations":[{"raw_affiliation_string":"Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037060213","display_name":"Larisa Shwartz","orcid":"https://orcid.org/0000-0001-5878-0765"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Larisa Shwartz","raw_affiliation_strings":["IBM T. J. Watson Research Center, Hawthorne, NY, USA","IBM T.J. Watson Research Center, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM T.J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100723091"],"corresponding_institution_ids":["https://openalex.org/I19700959"],"apc_list":null,"apc_paid":null,"fwci":6.3949,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.96342819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"633","last_page":"641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"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":1.0,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9908000230789185,"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/computer-science","display_name":"Computer science","score":0.748786449432373},{"id":"https://openalex.org/keywords/lag","display_name":"Lag","score":0.6831955909729004},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.6184424757957458},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6098443865776062},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5555174350738525},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5008895397186279},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4895349442958832},{"id":"https://openalex.org/keywords/time-lag","display_name":"Time lag","score":0.4156697690486908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32513099908828735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.748786449432373},{"id":"https://openalex.org/C75778745","wikidata":"https://www.wikidata.org/wiki/Q342626","display_name":"Lag","level":2,"score":0.6831955909729004},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.6184424757957458},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6098443865776062},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5555174350738525},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5008895397186279},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4895349442958832},{"id":"https://openalex.org/C2987767877","wikidata":"https://www.wikidata.org/wiki/Q352862","display_name":"Time lag","level":3,"score":0.4156697690486908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32513099908828735},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2339530.2339633","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W164902916","https://openalex.org/W193800782","https://openalex.org/W1499478889","https://openalex.org/W1502234097","https://openalex.org/W1506285740","https://openalex.org/W1506451709","https://openalex.org/W1565377632","https://openalex.org/W1584003909","https://openalex.org/W1641039719","https://openalex.org/W1938740620","https://openalex.org/W1990800901","https://openalex.org/W1995003166","https://openalex.org/W2000538464","https://openalex.org/W2017666374","https://openalex.org/W2044023374","https://openalex.org/W2068383400","https://openalex.org/W2113636321","https://openalex.org/W2118887058","https://openalex.org/W2119370347","https://openalex.org/W2121040785","https://openalex.org/W2138745909","https://openalex.org/W2143210188","https://openalex.org/W2148356029","https://openalex.org/W2150123893","https://openalex.org/W2153567088","https://openalex.org/W2156026066","https://openalex.org/W2159924615","https://openalex.org/W2164124992","https://openalex.org/W2164405010","https://openalex.org/W2166488058","https://openalex.org/W2799087070","https://openalex.org/W2912031392","https://openalex.org/W3144141295","https://openalex.org/W4213071546","https://openalex.org/W4300005065","https://openalex.org/W4385265210"],"related_works":["https://openalex.org/W4322731367","https://openalex.org/W4390225985","https://openalex.org/W4255298156","https://openalex.org/W2390086507","https://openalex.org/W2387460033","https://openalex.org/W2017376874","https://openalex.org/W2326580408","https://openalex.org/W1638676447","https://openalex.org/W2382672093","https://openalex.org/W1823560437"],"abstract_inverted_index":{"Time":[0],"lag":[1,18],"is":[2],"a":[3,37],"key":[4],"feature":[5],"of":[6,27],"hidden":[7],"temporal":[8,29,32,71],"dependencies":[9,55],"within":[10],"sequential":[11],"data.":[12],"In":[13],"many":[14],"real-world":[15],"applications,":[16],"time":[17,39,54],"plays":[19],"an":[20],"essential":[21],"role":[22],"in":[23],"interpreting":[24],"the":[25,43,53,69],"cause":[26],"discovered":[28],"dependencies.":[30,72],"Traditional":[31],"mining":[33],"methods":[34],"either":[35],"use":[36],"predefined":[38],"window":[40],"to":[41,50],"analyze":[42],"item":[44],"sequence,":[45],"or":[46],"employ":[47],"statistical":[48],"techniques":[49],"simply":[51],"derive":[52],"among":[56],"items.":[57],"Such":[58],"paradigms":[59],"cannot":[60],"effectively":[61],"handle":[62],"varied":[63],"data":[64],"with":[65],"special":[66],"properties,":[67],"e.g.,":[68],"interleaved":[70]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
