{"id":"https://openalex.org/W2158867385","doi":"https://doi.org/10.1109/hicss.2006.49","title":"An Efficient Algorithm for Real-Time Frequent Pattern Mining for Real-Time Business Intelligence Analytics","display_name":"An Efficient Algorithm for Real-Time Frequent Pattern Mining for Real-Time Business Intelligence Analytics","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2158867385","doi":"https://doi.org/10.1109/hicss.2006.49","mag":"2158867385"},"language":"en","primary_location":{"id":"doi:10.1109/hicss.2006.49","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hicss.2006.49","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","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":null,"display_name":"R. Dass","orcid":null},"institutions":[{"id":"https://openalex.org/I150870154","display_name":"Indian Institute of Management Ahmedabad","ror":"https://ror.org/02egcpy68","country_code":"IN","type":"education","lineage":["https://openalex.org/I150870154"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"R. Dass","raw_affiliation_strings":["Indian Institute of Management Ahmedabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Management Ahmedabad, India","institution_ids":["https://openalex.org/I150870154"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071194301","display_name":"Ambuj Mahanti","orcid":null},"institutions":[{"id":"https://openalex.org/I71495548","display_name":"Indian Institute of Management Calcutta","ror":"https://ror.org/02zhewk16","country_code":"IN","type":"education","lineage":["https://openalex.org/I71495548"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Mahanti","raw_affiliation_strings":["Indian Institute of Management, Calcutta, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Management, Calcutta, India","institution_ids":["https://openalex.org/I71495548"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150870154"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.15327976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2637","issue":null,"first_page":"170b","last_page":"170b"},"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":0.9965999722480774,"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":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.8067736625671387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6676254868507385},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6395705342292786},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.5255193710327148},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5144813060760498},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4980330467224121},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45518702268600464},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4521328806877136},{"id":"https://openalex.org/keywords/efficient-algorithm","display_name":"Efficient algorithm","score":0.42433813214302063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3451945185661316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067736625671387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6676254868507385},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6395705342292786},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.5255193710327148},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5144813060760498},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4980330467224121},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45518702268600464},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4521328806877136},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.42433813214302063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3451945185661316},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hicss.2006.49","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hicss.2006.49","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W627701203","https://openalex.org/W1481957731","https://openalex.org/W1546647560","https://openalex.org/W1586759373","https://openalex.org/W1824634186","https://openalex.org/W1955600018","https://openalex.org/W1996249351","https://openalex.org/W1997136459","https://openalex.org/W2045487373","https://openalex.org/W2052309873","https://openalex.org/W2053727994","https://openalex.org/W2064853889","https://openalex.org/W2080632942","https://openalex.org/W2099404336","https://openalex.org/W2101817275","https://openalex.org/W2109464129","https://openalex.org/W2110893883","https://openalex.org/W2146934839","https://openalex.org/W2150821041","https://openalex.org/W2166353797","https://openalex.org/W2166559705","https://openalex.org/W2497962821","https://openalex.org/W4231069483","https://openalex.org/W4243800214","https://openalex.org/W4252403066","https://openalex.org/W6684632368","https://openalex.org/W6723901554"],"related_works":["https://openalex.org/W4367856707","https://openalex.org/W2782244122","https://openalex.org/W2048156096","https://openalex.org/W3123352720","https://openalex.org/W3068949829","https://openalex.org/W2150941767","https://openalex.org/W3130756120","https://openalex.org/W2107023905","https://openalex.org/W2364229524","https://openalex.org/W2138381621"],"abstract_inverted_index":{"Finding":[0],"frequent":[1,111,134,142],"patterns":[2,135,143],"from":[3],"databases":[4],"has":[5],"been":[6,56,66],"the":[7,74,81,97,132,140,147],"most":[8],"time":[9],"consuming":[10],"process":[11],"in":[12,23,29],"data":[13],"mining":[14,22,63,113],"tasks,":[15],"like":[16],"association":[17],"rule":[18],"mining.":[19],"Frequent":[20],"pattern":[21,112],"real-time":[24,98,110],"is":[25],"of":[26,52,83,131,139],"increasing":[27],"thrust":[28],"many":[30],"business":[31],"applications":[32],"such":[33],"as":[34],"e-commerce,":[35],"recommender":[36],"systems,":[37,45],"and":[38,41,116,136],"supply-chain":[39],"management":[40],"group":[42],"decision":[43],"support":[44],"to":[46,68,94,96,108],"name":[47],"a":[48,128],"few.":[49],"A":[50],"plethora":[51],"efficient":[53],"algorithms":[54,64,85,90],"have":[55,65],"proposed":[57],"till":[58],"date,":[59],"among":[60],"which,":[61],"vertical":[62],"found":[67],"be":[69],"very":[70],"effective,":[71],"usually":[72],"outperforming":[73],"horizontal":[75],"ones.":[76],"However,":[77],"with":[78],"dense":[79],"datasets,":[80],"performances":[82],"these":[84,89],"significantly":[86],"degrade.":[87],"Moreover,":[88],"are":[91],"not":[92],"suited":[93],"respond":[95],"need.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103],"describe":[104],"BDFS(b)-diff-sets,":[105],"an":[106],"algorithm":[107,125],"perform":[109],"using":[114],"diff-sets":[115],"limited":[117],"computing":[118],"resources.":[119],"Empirical":[120],"evaluations":[121],"show":[122],"that":[123],"our":[124],"can":[126],"make":[127],"fair":[129],"estimation":[130],"probable":[133],"reaches":[137],"some":[138],"longest":[141],"much":[144],"faster":[145],"than":[146],"existing":[148],"algorithms.":[149]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
