{"id":"https://openalex.org/W2111968659","doi":"https://doi.org/10.1145/1774088.1774463","title":"Combining global and local information for enhanced deep classification","display_name":"Combining global and local information for enhanced deep classification","publication_year":2010,"publication_date":"2010-03-22","ids":{"openalex":"https://openalex.org/W2111968659","doi":"https://doi.org/10.1145/1774088.1774463","mag":"2111968659"},"language":"en","primary_location":{"id":"doi:10.1145/1774088.1774463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1774088.1774463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM Symposium on Applied 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/A5014007202","display_name":"Heung\u2010Seon Oh","orcid":"https://orcid.org/0000-0002-9193-8998"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heung-Seon Oh","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, Guseong-dong, Yuseong-gu, Daejeon, South Korea","Korea Advanced Institute of Science and Technology, GuSeong Dong, YuSeong Gu, DaeJeon, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, Guseong-dong, Yuseong-gu, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, GuSeong Dong, YuSeong Gu, DaeJeon, South Korea#TAB#","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105883249","display_name":"Yoonjung Choi","orcid":"https://orcid.org/0000-0002-4627-0722"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoonjung Choi","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, Guseong-dong, Yuseong-gu, Daejeon, South Korea","Korea Advanced Institute of Science and Technology, GuSeong Dong, YuSeong Gu, DaeJeon, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, Guseong-dong, Yuseong-gu, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, GuSeong Dong, YuSeong Gu, DaeJeon, South Korea#TAB#","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001914535","display_name":"Sung-Hyon Myaeng","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Hyon Myaeng","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, Guseong-dong, Yuseong-gu, Daejeon, South Korea","Korea Advanced Institute of Science and Technology, GuSeong Dong, YuSeong Gu, DaeJeon, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, Guseong-dong, Yuseong-gu, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, GuSeong Dong, YuSeong Gu, DaeJeon, South Korea#TAB#","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":2.7976,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91381425,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1760","last_page":"1767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9948999881744385,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7794903516769409},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.7791147232055664},{"id":"https://openalex.org/keywords/directory","display_name":"Directory","score":0.7326465845108032},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5383269786834717},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5335999131202698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5087855458259583},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4932186007499695},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4529879689216614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45060020685195923},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43497827649116516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39717185497283936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7794903516769409},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.7791147232055664},{"id":"https://openalex.org/C2777683733","wikidata":"https://www.wikidata.org/wiki/Q201456","display_name":"Directory","level":2,"score":0.7326465845108032},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5383269786834717},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5335999131202698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5087855458259583},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4932186007499695},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4529879689216614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45060020685195923},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43497827649116516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39717185497283936},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1774088.1774463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1774088.1774463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.704.6759","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.6759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ir.kaist.ac.kr/anthology/2010.03-Oh2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1520889841","https://openalex.org/W1523949738","https://openalex.org/W1550206324","https://openalex.org/W1590163898","https://openalex.org/W1620204465","https://openalex.org/W1978329176","https://openalex.org/W2005422315","https://openalex.org/W2014566476","https://openalex.org/W2025047573","https://openalex.org/W2029296527","https://openalex.org/W2043747172","https://openalex.org/W2073448073","https://openalex.org/W2073830447","https://openalex.org/W2098876286","https://openalex.org/W2114535528","https://openalex.org/W2117225622","https://openalex.org/W2118020653","https://openalex.org/W2126165619","https://openalex.org/W2126184790","https://openalex.org/W2126631147","https://openalex.org/W2127416213","https://openalex.org/W2151752770","https://openalex.org/W2435251607"],"related_works":["https://openalex.org/W3115906952","https://openalex.org/W3134811395","https://openalex.org/W3155196058","https://openalex.org/W4252960523","https://openalex.org/W1529821365","https://openalex.org/W2135486207","https://openalex.org/W1499611046","https://openalex.org/W3024420453","https://openalex.org/W2388608119","https://openalex.org/W1577730984"],"abstract_inverted_index":{"Compared":[0],"to":[1,19,123],"traditional":[2],"text":[3],"classification":[4,39,50],"with":[5,64,72,114],"a":[6,11,20,35,66,89,96,110],"flat":[7],"category":[8,74],"set":[9],"or":[10],"small":[12],"hierarchy":[13,22,117],"of":[14,58,112,129],"categories,":[15],"classifying":[16],"web":[17],"pages":[18,70],"large-scale":[21],"such":[23,65],"as":[24],"Open":[25],"Directory":[26,31],"Project":[27],"(ODP)":[28],"and":[29,78,95,105,133],"Yahoo!":[30],"is":[32,55,62],"challenging.":[33],"While":[34],"recently":[36],"proposed":[37,127],"\"deep\"":[38],"method":[40,128],"makes":[41],"the":[42,56,73,85,115,126,139,145],"problem":[43,54],"tractable,":[44],"it":[45],"still":[46],"suffers":[47],"from":[48],"low":[49],"performance.":[51],"A":[52],"major":[53],"lack":[57],"training":[59,91,140],"data,":[60],"which":[61,101],"unavoidable":[63],"huge":[67],"hierarchy.":[68],"Training":[69],"associated":[71],"nodes":[75],"are":[76,81],"short,":[77],"their":[79],"distributions":[80],"skewed.":[82],"To":[83],"alleviate":[84],"problem,":[86,143],"we":[87],"propose":[88],"new":[90],"data":[92,141],"selection":[93],"strategy":[94],"na\u00efve":[97],"Bayes":[98],"combination":[99],"model,":[100],"utilize":[102],"both":[103,131],"local":[104,132],"global":[106,134],"information.":[107],"We":[108],"conducted":[109],"series":[111],"experiments":[113],"ODP":[116],"containing":[118],"more":[119],"than":[120],"100,000":[121],"categories":[122],"show":[124],"that":[125],"using":[130],"information":[135],"indeed":[136],"helps":[137],"avoiding":[138],"sparseness":[142],"outperforming":[144],"state-of-art":[146],"method.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}