{"id":"https://openalex.org/W1768207336","doi":"https://doi.org/10.48550/arxiv.1402.1257","title":"Incremental classification using Feature Tree","display_name":"Incremental classification using Feature Tree","publication_year":2014,"publication_date":"2014-02-06","ids":{"openalex":"https://openalex.org/W1768207336","doi":"https://doi.org/10.48550/arxiv.1402.1257","mag":"1768207336"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1402.1257","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1402.1257","pdf_url":"https://arxiv.org/pdf/1402.1257","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1402.1257","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021278593","display_name":"Nishant Vadnere","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":"IN","type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vadnere, Nishant","raw_affiliation_strings":["M.Tech , Computer Science Department , Manipal University Jaipur , Jaipur , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"M.Tech , Computer Science Department , Manipal University Jaipur , Jaipur , India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018130351","display_name":"Rupa G. Mehta","orcid":"https://orcid.org/0000-0002-6260-0488","observed_orcids":["https://orcid.org/0000-0002-6260-0488"]},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mehta, R. G.","raw_affiliation_strings":["RGCET , Nagpur , India","SVNIT , Surat , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RGCET , Nagpur , India","institution_ids":[]},{"raw_affiliation_string":"SVNIT , Surat , India","institution_ids":["https://openalex.org/I42014448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065416217","display_name":"Dipti P. Rana","orcid":"https://orcid.org/0000-0002-5058-1355","observed_orcids":["https://orcid.org/0000-0002-5058-1355"]},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rana, D. P.","raw_affiliation_strings":["RGCET , Nagpur , India","SVNIT , Surat , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RGCET , Nagpur , India","institution_ids":[]},{"raw_affiliation_string":"SVNIT , Surat , India","institution_ids":["https://openalex.org/I42014448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110362287","display_name":"Narendra. J. Mistry","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mistry, N. J.","raw_affiliation_strings":["RGCET , Nagpur , India","SVNIT , Surat , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RGCET , Nagpur , India","institution_ids":[]},{"raw_affiliation_string":"SVNIT , Surat , India","institution_ids":["https://openalex.org/I42014448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091230568","display_name":"Mukesh M. Raghuwanshi","orcid":"https://orcid.org/0000-0001-9545-4467","observed_orcids":["https://orcid.org/0000-0001-9545-4467"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raghuwanshi, M. M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9980000257492065,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9980000257492065,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.0005000000237487257,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.00039999998989515007,"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/incremental-classification","display_name":"incremental classification","score":0.890999972820282},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"data stream mining","score":0.7760000228881836},{"id":"https://openalex.org/keywords/concept-drift","display_name":"concept drift","score":0.8849999904632568},{"id":"https://openalex.org/keywords/feature-trees","display_name":"feature trees","score":0.8569999933242798},{"id":"https://openalex.org/keywords/e-learning","display_name":"online learning","score":0.5299999713897705},{"id":"https://openalex.org/keywords/high-dimensionality","display_name":"high dimensionality","score":0.6690000295639038}],"concepts":[{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.8278192281723022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075053453445435},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.7056816220283508},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6605312824249268},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6162635087966919},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5997344255447388},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5886520147323608},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.533786952495575},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.49200674891471863},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.44027701020240784},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4195792078971863},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.41095295548439026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3310561776161194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30043482780456543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1492319405078888},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:1402.1257","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1402.1257","pdf_url":"https://arxiv.org/pdf/1402.1257","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.987.4411","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.987.4411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Dipti_Rana/publication/260089350_Incremental_classification_using_Feature_Tree/links/54a1246b0cf256bf8bae30d3.pdf?origin%3Dpublication_detail","raw_type":"text"},{"id":"doi:10.48550/arxiv.1402.1257","doi":"https://doi.org/10.48550/arxiv.1402.1257","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1402.1257","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1402.1257","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1402.1257","pdf_url":"https://arxiv.org/pdf/1402.1257","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1768207336.pdf","grobid_xml":"https://content.openalex.org/works/W1768207336.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W89601264","https://openalex.org/W157692823","https://openalex.org/W167515793","https://openalex.org/W200167764","https://openalex.org/W1561226655","https://openalex.org/W1573772481","https://openalex.org/W1747560487","https://openalex.org/W1906257803","https://openalex.org/W1977947448","https://openalex.org/W2010657328","https://openalex.org/W2014771275","https://openalex.org/W2016995838","https://openalex.org/W2057552436","https://openalex.org/W2068714596","https://openalex.org/W2074924176","https://openalex.org/W2098258619","https://openalex.org/W2108190694","https://openalex.org/W2111192396","https://openalex.org/W2112841646","https://openalex.org/W2122441774","https://openalex.org/W2125950426","https://openalex.org/W2129570464","https://openalex.org/W2142827986","https://openalex.org/W2144084756","https://openalex.org/W2155631901","https://openalex.org/W2162481186","https://openalex.org/W2317439525","https://openalex.org/W2364559349","https://openalex.org/W2373300356","https://openalex.org/W2611071497","https://openalex.org/W2752853835","https://openalex.org/W2753176400","https://openalex.org/W3158124029"],"related_works":["https://openalex.org/W2109161140","https://openalex.org/W7096349438","https://openalex.org/W7096468325","https://openalex.org/W2528452340","https://openalex.org/W2043729906","https://openalex.org/W1989329630","https://openalex.org/W250393214","https://openalex.org/W2072944275","https://openalex.org/W2406333168","https://openalex.org/W2365062323"],"abstract_inverted_index":{"In":[0,30,113],"recent":[1],"years,":[2],"stream":[3,35,62,131],"data":[4,19,23,34,37,63,92],"have":[5,65],"become":[6,108],"an":[7,25],"immensely":[8],"growing":[9],"area":[10],"of":[11,28,33,47,56,73,89,118,130],"research":[12],"for":[13,127],"the":[14,57,87,90,105,116,125,128,158],"database,":[15,74],"computer":[16],"science":[17],"and":[18,52,79,93,149],"mining":[20,36],"communities.":[21],"Stream":[22],"is":[24,121],"ordered":[26],"sequence":[27],"instances.":[29],"many":[31],"applications":[32],"can":[38],"be":[39],"read":[40],"only":[41],"once":[42],"or":[43],"a":[44,102],"small":[45],"number":[46],"times":[48],"using":[49],"limited":[50],"computing":[51],"storage":[53],"capabilities.":[54],"Some":[55],"issues":[58,126],"occurred":[59],"in":[60,68,100,157],"classifying":[61],"that":[64,104],"significant":[66],"impact":[67],"algorithm":[69,154],"development":[70],"are":[71,155],"size":[72],"online":[75],"streaming,":[76],"high":[77],"dimensionality":[78],"concept":[80,83],"drift.":[81],"The":[82,133],"drift":[84],"occurs":[85],"when":[86],"properties":[88],"historical":[91],"target":[94],"variable":[95],"change":[96],"over":[97],"time":[98,111],"abruptly":[99],"such":[101],"case":[103],"predictions":[106],"will":[107],"inaccurate":[109],"as":[110],"passes.":[112],"this":[114],"paper":[115],"framework":[117],"incremental":[119,137,143,152],"classification":[120,129,153],"proposed":[122,159],"to":[123],"solve":[124],"data.":[132],"Trie":[134,140],"structure":[135,141],"based":[136,142,151],"feature":[138],"tree,":[139],"FP":[144],"(Frequent":[145],"Pattern)":[146],"growth":[147],"tree":[148,150],"introduced":[156],"framework.":[160]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2016-06-24T00:00:00"}