{"id":"https://openalex.org/W2033990639","doi":"https://doi.org/10.1145/1183614.1183668","title":"Efficiently clustering transactional data with weighted coverage density","display_name":"Efficiently clustering transactional data with weighted coverage density","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2033990639","doi":"https://doi.org/10.1145/1183614.1183668","mag":"2033990639"},"language":"en","primary_location":{"id":"doi:10.1145/1183614.1183668","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1183614.1183668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Information and knowledge management  - CIKM '06","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://works.bepress.com/keke_chen/38","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101585024","display_name":"Hua Yan","orcid":"https://orcid.org/0000-0001-5845-1857"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hua Yan","raw_affiliation_strings":["University of Electronic Science & Tech. of China, Chengdu, P.R. ChinaUniversity of Electronic Science & Tech. of China, Chengdu, P.R. China","University of Electronic Science & Tech. of China, Chengdu, P.R. ChinaUniversity of Electronic Science & Tech. of China, Chengdu, P.R. China#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science & Tech. of China, Chengdu, P.R. ChinaUniversity of Electronic Science & Tech. of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science & Tech. of China, Chengdu, P.R. ChinaUniversity of Electronic Science & Tech. of China, Chengdu, P.R. China#TAB#","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002572745","display_name":"Keke Chen","orcid":"https://orcid.org/0000-0002-9996-156X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keke Chen","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA","Georgia Institute of Technology Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343991","display_name":"Ling Liu","orcid":"https://orcid.org/0000-0002-4138-3082"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ling Liu","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA","Georgia Institute of Technology Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101585024"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":6.0331,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.9565089,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"367","last_page":"367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T12384","display_name":"Customer churn and segmentation","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.995199978351593,"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/cluster-analysis","display_name":"Cluster analysis","score":0.756371259689331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7060418128967285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41033464670181274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22838985919952393}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.756371259689331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060418128967285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41033464670181274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22838985919952393}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1183614.1183668","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1183614.1183668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Information and knowledge management  - CIKM '06","raw_type":"proceedings-article"},{"id":"pmh:oai:corescholar.libraries.wright.edu:knoesis-1175","is_oa":false,"landing_page_url":"https://corescholar.libraries.wright.edu/knoesis/175","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":false,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kno.e.sis Publications","raw_type":"text"},{"id":"pmh:oai:works.bepress.com:keke_chen-1037","is_oa":true,"landing_page_url":"https://works.bepress.com/keke_chen/38","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Keke Chen","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:works.bepress.com:keke_chen-1037","is_oa":true,"landing_page_url":"https://works.bepress.com/keke_chen/38","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Keke Chen","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1523947269","https://openalex.org/W1533954574","https://openalex.org/W1560541823","https://openalex.org/W1572400628","https://openalex.org/W1586552957","https://openalex.org/W1975438152","https://openalex.org/W1982658582","https://openalex.org/W1984075651","https://openalex.org/W1992419399","https://openalex.org/W1995502855","https://openalex.org/W2040226816","https://openalex.org/W2041674806","https://openalex.org/W2052819443","https://openalex.org/W2057712948","https://openalex.org/W2064686951","https://openalex.org/W2122943553","https://openalex.org/W2133576408","https://openalex.org/W2134737843","https://openalex.org/W2141806397","https://openalex.org/W2149230623","https://openalex.org/W2158312857","https://openalex.org/W2979454998"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"It":[0],"is":[1,16,68,148],"widely":[2],"recognized":[3],"that":[4,166,224],"developing":[5],"efficient":[6,57],"and":[7,28,70,108,122,142,188,217,220],"fully":[8,130,244],"automated":[9,131,245],"algorithms":[10],"for":[11,32,56,157],"clustering":[12,30,58,96,120,125,133,158,176,207,240],"large":[13,105],"transactional":[14,34,60,94,106,132],"datasets":[15,219],"a":[17,25,52,78,129,160,243],"challenging":[18],"problem.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,43,91,114],"propose":[24],"fast,":[26],"memory-efficient,":[27],"scalable":[29],"algorithm":[31,121],"analyzing":[33],"data.":[35],"Our":[36],"approach":[37,229],"has":[38],"three":[39],"unique":[40],"features.":[41],"First,":[42],"use":[44],"the":[45,72,86,102,109,116,123,152,170,175,179,182,190,200,204,225,232],"concept":[46,63,103],"of":[47,59,64,74,88,104,174,181,186,192,206],"Weighted":[48],"Coverage":[49],"Density":[50],"as":[51],"categorical":[53],"similarity":[54],"measure":[55,156],"datasets.":[61],"The":[62,145],"weighted":[65,117,153,226],"coverage":[66,110,118,154,227],"density":[67,111,119,155,228],"intuitive":[69],"allows":[71],"weight":[73],"each":[75],"item":[76],"in":[77,242],"cluster":[79,195],"to":[80,85,150,198],"be":[81],"changed":[82],"dynamically":[83],"according":[84],"occurrences":[87],"items.":[89],"Second,":[90],"develop":[92],"two":[93,124,171,193],"data":[95],"specific":[97],"evaluation":[98,213],"metrics":[99,127],"based":[100],"on":[101],"items":[107],"respectively.":[112],"Third,":[113],"implement":[115],"validation":[126],"using":[128,214],"framework,":[134],"called":[135],"SCALE":[136,146,233],"(Sampling,":[137],"Clustering":[138],"structure":[139],"Assessment,":[140],"cLustering":[141],"domain-specific":[143,194],"Evaluation).":[144],"framework":[147,234],"designed":[149],"combine":[151],"over":[159],"sample":[161],"dataset":[162],"with":[163],"self-configuring":[164],"methods":[165],"can":[167,235],"automatically":[168],"tune":[169],"important":[172],"parameters":[173],"algorithms:":[177],"(1)":[178],"candidates":[180],"best":[183,201],"number":[184],"K":[185],"clusters;":[187],"(2)":[189],"application":[191],"validity":[196],"measures":[197],"find":[199],"result":[202],"from":[203],"set":[205],"results.":[208],"We":[209],"have":[210],"conducted":[211],"experimental":[212],"both":[215],"synthetic":[216],"real":[218],"our":[221],"results":[222,241],"show":[223],"powered":[230],"by":[231],"efficiently":[236],"generate":[237],"high":[238],"quality":[239],"manner.":[246]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}