{"id":"https://openalex.org/W2076428730","doi":"https://doi.org/10.4304/jsw.8.8.2095-2103","title":"ADMiner: An Incremental Data Mining Approach Using a Compressed FP-tree","display_name":"ADMiner: An Incremental Data Mining Approach Using a Compressed FP-tree","publication_year":2013,"publication_date":"2013-07-28","ids":{"openalex":"https://openalex.org/W2076428730","doi":"https://doi.org/10.4304/jsw.8.8.2095-2103","mag":"2076428730"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.8.8.2095-2103","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.8.8.2095-2103","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-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/A5008407911","display_name":"Chien\u2010Min Lin","orcid":"https://orcid.org/0000-0001-5404-0145"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chien-Min Lin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061191397","display_name":"Yu\u2010Lung Hsieh","orcid":"https://orcid.org/0000-0001-9918-3203"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu-Lung Hsieh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047513768","display_name":"Kuo-Cheng Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuo-Cheng Yin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111480328","display_name":"Ming-Chuan Hung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming-Chuan Hung","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065466133","display_name":"Don\u2010Lin Yang","orcid":"https://orcid.org/0000-0002-8004-637X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Don-Lin Yang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008407911"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6179,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88447842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":"8","first_page":null,"last_page":null},"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9370149374008179},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5767966508865356},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.49492448568344116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.04198640584945679}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9370149374008179},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5767966508865356},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.49492448568344116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.04198640584945679},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.8.8.2095-2103","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.8.8.2095-2103","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W216907029","https://openalex.org/W1482810056","https://openalex.org/W1597161471","https://openalex.org/W1928996079","https://openalex.org/W1970077009","https://openalex.org/W1975622297","https://openalex.org/W2101491687","https://openalex.org/W2101692930","https://openalex.org/W2128817530","https://openalex.org/W2166559705","https://openalex.org/W2169474320"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"In":[0,51],"real":[1],"world":[2],"applications,":[3],"most":[4],"transaction":[5],"databases":[6],"are":[7],"often":[8],"large":[9,23],"and":[10,46],"constantly":[11],"updated.":[12],"Current":[13],"data":[14,58],"mining":[15,88,112],"algorithms":[16],"face":[17],"the":[18,77,91,99],"problem":[19],"of":[20,25,60,72],"processing":[21],"a":[22,61],"number":[24],"transactions":[26],"in":[27],"dynamic":[28],"environments.":[29],"Since":[30],"memory":[31],"space":[32],"is":[33,36],"limited,":[34],"it":[35,83],"critical":[37],"to":[38,41,47,64],"be":[39],"able":[40],"use":[42],"available":[43],"storage":[44],"efficiently":[45],"process":[48],"more":[49,81,113],"transactions.":[50],"this":[52],"paper,":[53],"we":[54,101],"propose":[55,102],"an":[56],"improved":[57],"structure":[59],"compressed":[62],"FP-tree":[63],"mine":[65],"frequent":[66],"itemsets":[67],"with":[68],"greater":[69],"efficiency.":[70],"Use":[71],"our":[73],"method":[74,100],"can":[75,84],"minimize":[76],"I/O":[78],"overhead,":[79],"and,":[80],"importantly,":[82],"also":[85,109],"perform":[86],"incremental":[87,111],"without":[89],"rescanning":[90],"original":[92],"database.":[93],"Our":[94],"experimental":[95],"results":[96],"show":[97],"that":[98],"not":[103],"only":[104],"requires":[105],"less":[106],"memory,":[107],"but":[108],"performs":[110],"efficiently.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}