{"id":"https://openalex.org/W2154263186","doi":"https://doi.org/10.1145/2389656.2389660","title":"Efficient mining of correlated sequential patterns based on null hypothesis","display_name":"Efficient mining of correlated sequential patterns based on null hypothesis","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2154263186","doi":"https://doi.org/10.1145/2389656.2389660","mag":"2154263186"},"language":"en","primary_location":{"id":"doi:10.1145/2389656.2389660","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2389656.2389660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning","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/A5047940824","display_name":"Cindy Xide Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I113979032","display_name":"Twitter (United States)","ror":"https://ror.org/04wt43v05","country_code":"US","type":"company","lineage":["https://openalex.org/I113979032"]},{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cindy Xide Lin","raw_affiliation_strings":["Twitter Inc, San Francisco, CA, USA &amp; University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Twitter Inc, San Francisco, CA, USA &amp; University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I113979032","https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101838286","display_name":"Ji Ming","orcid":"https://orcid.org/0000-0001-6887-2591"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Ji","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048281388","display_name":"Marina Danilevsky","orcid":"https://orcid.org/0000-0003-2875-2442"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marina Danilevsky","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4698,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88392771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"24"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.7284796237945557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5881410837173462},{"id":"https://openalex.org/keywords/null-model","display_name":"Null model","score":0.4425019323825836},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4137609601020813},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35620826482772827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.271537184715271},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.101616770029068}],"concepts":[{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.7284796237945557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881410837173462},{"id":"https://openalex.org/C36382193","wikidata":"https://www.wikidata.org/wiki/Q7068966","display_name":"Null model","level":2,"score":0.4425019323825836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4137609601020813},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35620826482772827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.271537184715271},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.101616770029068}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2389656.2389660","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2389656.2389660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.301.6631","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.6631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uiuc.edu/~hanj/pdf/webkr12_clin.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W126458188","https://openalex.org/W581215525","https://openalex.org/W1482163180","https://openalex.org/W1529075208","https://openalex.org/W1574901103","https://openalex.org/W1593045043","https://openalex.org/W1728974518","https://openalex.org/W1973036367","https://openalex.org/W1984446671","https://openalex.org/W1984606279","https://openalex.org/W1989521566","https://openalex.org/W1990800901","https://openalex.org/W1994190629","https://openalex.org/W2022322548","https://openalex.org/W2044306058","https://openalex.org/W2056797132","https://openalex.org/W2062516497","https://openalex.org/W2064668866","https://openalex.org/W2066277072","https://openalex.org/W2100417212","https://openalex.org/W2106072141","https://openalex.org/W2113855231","https://openalex.org/W2113952909","https://openalex.org/W2140190241","https://openalex.org/W2148315211","https://openalex.org/W2152470671","https://openalex.org/W2154847327","https://openalex.org/W2165884200","https://openalex.org/W2166559705","https://openalex.org/W2168196587","https://openalex.org/W2170726034","https://openalex.org/W2210278139","https://openalex.org/W2405329296","https://openalex.org/W3198160809","https://openalex.org/W4236706032","https://openalex.org/W4241025692","https://openalex.org/W6680704940"],"related_works":["https://openalex.org/W2378195143","https://openalex.org/W2785512550","https://openalex.org/W2590847585","https://openalex.org/W2261099484","https://openalex.org/W2410708459","https://openalex.org/W4288633237","https://openalex.org/W2613576229","https://openalex.org/W3083146208","https://openalex.org/W1535743328","https://openalex.org/W2026080208"],"abstract_inverted_index":{"Frequent":[0],"pattern":[1,22],"mining":[2,15,23,70,79,86],"has":[3,72],"been":[4,73],"a":[5,19,31,40,60],"widely":[6],"studied":[7],"topic":[8],"in":[9],"the":[10],"research":[11],"area":[12],"of":[13,34,42,63],"data":[14,26,54,78],"for":[16,81],"more":[17],"than":[18],"decade.":[20],"However,":[21],"with":[24],"real":[25],"sets":[27],"is":[28],"complicated":[29],"-":[30],"huge":[32],"number":[33],"co-occurrence":[35],"patterns":[36],"are":[37,44,56],"usually":[38],"generated,":[39],"majority":[41],"which":[43],"either":[45],"redundant":[46],"or":[47],"uninformative.":[48],"The":[49],"true":[50],"correlation":[51],"relationships":[52],"among":[53,59],"objects":[55],"buried":[57],"deep":[58],"large":[61],"pile":[62],"useless":[64],"information.":[65],"To":[66],"overcome":[67],"this":[68],"difficulty,":[69],"correlations":[71],"recognized":[74],"as":[75],"an":[76],"important":[77],"task":[80],"its":[82],"many":[83],"advantages":[84],"over":[85],"frequent":[87],"patterns.":[88]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
