{"id":"https://openalex.org/W3023891834","doi":"https://doi.org/10.1145/3384544.3384610","title":"Applying Prefixed-Itemset and Compression Matrix to Optimize the MapReduce-based Apriori Algorithm on Hadoop","display_name":"Applying Prefixed-Itemset and Compression Matrix to Optimize the MapReduce-based Apriori Algorithm on Hadoop","publication_year":2020,"publication_date":"2020-02-18","ids":{"openalex":"https://openalex.org/W3023891834","doi":"https://doi.org/10.1145/3384544.3384610","mag":"3023891834"},"language":"en","primary_location":{"id":"doi:10.1145/3384544.3384610","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384544.3384610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","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/A5101583957","display_name":"Rui Sun","orcid":"https://orcid.org/0000-0002-8905-1028"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Sun","raw_affiliation_strings":["College of Computer Science and Technology, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697800","display_name":"Yuqiang Li","orcid":"https://orcid.org/0000-0001-6337-6185"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqiang Li","raw_affiliation_strings":["College of Computer Science and Technology, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101583957"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":1.6014,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87540252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"93"},"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":0.9932000041007996,"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":0.9805999994277954,"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/apriori-algorithm","display_name":"Apriori algorithm","score":0.8811230659484863},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7947445511817932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7651084661483765},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7512519955635071},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6441181898117065},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6261797547340393},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6220681667327881},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4736967086791992},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.426266074180603},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14762896299362183}],"concepts":[{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.8811230659484863},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7947445511817932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651084661483765},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7512519955635071},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6441181898117065},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6261797547340393},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6220681667327881},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4736967086791992},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.426266074180603},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14762896299362183},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3384544.3384610","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384544.3384610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1928996079","https://openalex.org/W1992540139","https://openalex.org/W2115482638","https://openalex.org/W2129714679","https://openalex.org/W2166559705","https://openalex.org/W2184117268","https://openalex.org/W2231311127","https://openalex.org/W2354452646","https://openalex.org/W2532722555","https://openalex.org/W2963680163","https://openalex.org/W3156316612","https://openalex.org/W4252403066"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W2607264580","https://openalex.org/W1483188779","https://openalex.org/W2383378197","https://openalex.org/W3014936414"],"abstract_inverted_index":{"Apriori":[0,64,75,79],"algorithm":[1,5,80],"is":[2],"the":[3,19,25,32,42,45,50,63,73,77],"classical":[4],"for":[6],"mining":[7,84],"association":[8],"rules.":[9],"However,":[10],"it":[11],"also":[12],"has":[13,81],"some":[14],"problems,":[15],"such":[16],"as":[17],"comparing":[18],"identical":[20],"itemset":[21],"repeatedly":[22],"and":[23,44,58,86],"scanning":[24],"external":[26],"storage":[27,60],"database":[28],"frequently.":[29],"Based":[30],"on":[31],"previous":[33],"research,":[34],"this":[35],"paper":[36],"proposed":[37],"a":[38],"method":[39],"of":[40,62],"applying":[41],"prefixed-itemset":[43],"compression":[46],"matrix":[47],"to":[48],"optimize":[49],"connection":[51],"step,":[52,54],"pruning":[53],"support":[55],"counting":[56],"step":[57],"transaction":[59],"mode":[61],"algorithm.":[65],"The":[66],"experimental":[67],"results":[68],"show":[69],"that":[70],"compared":[71],"with":[72],"conventional":[74],"algorithm,":[76],"optimized":[78],"more":[82,87],"powerful":[83],"efficiency":[85],"excellent":[88],"performance.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}