{"id":"https://openalex.org/W2028467040","doi":"https://doi.org/10.1109/grc.2012.6468561","title":"Frequent pattern mining for price fluctuation based on cloud computing","display_name":"Frequent pattern mining for price fluctuation based on cloud computing","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2028467040","doi":"https://doi.org/10.1109/grc.2012.6468561","mag":"2028467040"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2012.6468561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2012.6468561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Granular Computing","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/A5100423265","display_name":"Ming Chen","orcid":"https://orcid.org/0000-0002-3898-8697"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Chen","raw_affiliation_strings":["Newegg Laboratory, USA","Newegg Lab, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newegg Laboratory, USA","institution_ids":[]},{"raw_affiliation_string":"Newegg Lab, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110147547","display_name":"I\u2010Jen Chiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"I-Jen Chiang","raw_affiliation_strings":["Newegg Laboratory, USA","Newegg Lab, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newegg Laboratory, USA","institution_ids":[]},{"raw_affiliation_string":"Newegg Lab, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103371881","display_name":"Chao-Wei Lai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao-Wei Lai","raw_affiliation_strings":["Newegg Laboratory, USA","Newegg Lab, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newegg Laboratory, USA","institution_ids":[]},{"raw_affiliation_string":"Newegg Lab, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16076168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"50","last_page":"54"},"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":0.9883999824523926,"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/T11106","display_name":"Data Management and Algorithms","score":0.9710000157356262,"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":0.8169665932655334},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8072691559791565},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6583694219589233},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6159430146217346},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6137905716896057},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.537521481513977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8169665932655334},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8072691559791565},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6583694219589233},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6159430146217346},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6137905716896057},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.537521481513977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2012.6468561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2012.6468561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1492312449","https://openalex.org/W1532674044","https://openalex.org/W1608194207","https://openalex.org/W1641039719","https://openalex.org/W1972966296","https://openalex.org/W1981420413","https://openalex.org/W1990800901","https://openalex.org/W2009418433","https://openalex.org/W2009566340","https://openalex.org/W2076898137","https://openalex.org/W2119565742","https://openalex.org/W2125227861","https://openalex.org/W2126310301","https://openalex.org/W2128833260","https://openalex.org/W2134222450","https://openalex.org/W2147694185","https://openalex.org/W2158454296","https://openalex.org/W2166086559","https://openalex.org/W4234828246","https://openalex.org/W6629381835","https://openalex.org/W6631783668","https://openalex.org/W6678781943"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4244478748","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757"],"abstract_inverted_index":{"Frequent":[0],"pattern":[1,47,69,81],"mining":[2,9,48,70,74,82],"is":[3,12,59,76,84],"a":[4,21,44,93,103],"hot":[5],"topic":[6],"in":[7,16,35,118],"data":[8,37],"field,":[10],"and":[11,61,78],"now":[13],"widely":[14],"used":[15],"various":[17],"areas.":[18],"Cloud":[19],"computing,":[20,27],"newly":[22],"developed":[23],"framework":[24,101],"for":[25,49],"parallel":[26,33,45],"offers":[28],"great":[29],"advantages":[30],"over":[31],"traditional":[32],"computing":[34],"big":[36],"processing.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"present":[43],"frequent":[46,68,80,116],"price":[50],"fluctuation":[51],"based":[52],"on":[53,92],"cloud":[54],"computing.":[55],"Firstly,":[56],"original":[57],"dataset":[58],"pre-processed":[60],"transformed":[62],"to":[63],"meet":[64],"the":[65,73,87,115],"requirement":[66],"of":[67,95],"model.":[71],"Secondly,":[72],"task":[75],"described":[77],"multi-supports-based":[79],"problem":[83],"defined.":[85],"Finally,":[86],"experiment":[88],"was":[89],"carried":[90],"out":[91],"cluster":[94],"12":[96],"computer":[97],"nodes":[98],"with":[99],"map-reduce":[100],"as":[102],"basis.":[104],"The":[105],"experimental":[106],"results":[107],"show":[108],"that":[109],"our":[110],"approach":[111],"can":[112,122],"effectively":[113],"find":[114],"patterns":[117],"high":[119],"efficiency,":[120],"which":[121],"satisfy":[123],"actual":[124],"application.":[125]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}