{"id":"https://openalex.org/W3144127944","doi":"https://doi.org/10.1109/ideas.2007.4318098","title":"Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification","display_name":"Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W3144127944","doi":"https://doi.org/10.1109/ideas.2007.4318098","mag":"3144127944"},"language":"en","primary_location":{"id":"doi:10.1109/ideas.2007.4318098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ideas.2007.4318098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"11th International Database Engineering and Applications Symposium (IDEAS 2007)","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/A5101576889","display_name":"Abhishek Srivastava","orcid":"https://orcid.org/0000-0002-6338-5476"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Abhishek Srivastava","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053745515","display_name":"Osmar R. Za\u0131\u0308ane","orcid":"https://orcid.org/0000-0002-0060-5988"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Osmar R. Zaiane","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077692930","display_name":"Maria-Luiza Antonie","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Maria-Luiza Antonie","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101576889"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67189626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T10057","display_name":"Face and Expression Recognition","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7406129837036133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6972379684448242},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.689328670501709},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6639881730079651},{"id":"https://openalex.org/keywords/unison","display_name":"Unison","score":0.6606371402740479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6388876438140869},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6291791200637817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6177128553390503},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4201495051383972},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3552727699279785}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7406129837036133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6972379684448242},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.689328670501709},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6639881730079651},{"id":"https://openalex.org/C2780304638","wikidata":"https://www.wikidata.org/wiki/Q176224","display_name":"Unison","level":2,"score":0.6606371402740479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6388876438140869},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6291791200637817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6177128553390503},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4201495051383972},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3552727699279785},{"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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ideas.2007.4318098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ideas.2007.4318098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"11th International Database Engineering and Applications Symposium (IDEAS 2007)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W1484413656","https://openalex.org/W1522930027","https://openalex.org/W1525972306","https://openalex.org/W1585646276","https://openalex.org/W1620204465","https://openalex.org/W2084812512","https://openalex.org/W2117169652","https://openalex.org/W2140617045","https://openalex.org/W2154642793","https://openalex.org/W2156909104","https://openalex.org/W2156919418","https://openalex.org/W2157161149","https://openalex.org/W2166559705","https://openalex.org/W2167681385","https://openalex.org/W2435251607","https://openalex.org/W3120421331","https://openalex.org/W6628750762","https://openalex.org/W6631307659","https://openalex.org/W6635226022","https://openalex.org/W6636378376","https://openalex.org/W6671611538","https://openalex.org/W6680704940","https://openalex.org/W6680723932","https://openalex.org/W6682837551","https://openalex.org/W6684495928","https://openalex.org/W6717827561"],"related_works":["https://openalex.org/W2365473327","https://openalex.org/W2096680212","https://openalex.org/W4398474779","https://openalex.org/W4240393924","https://openalex.org/W1537404137","https://openalex.org/W2517885960","https://openalex.org/W2507842624","https://openalex.org/W1487808658","https://openalex.org/W156213964","https://openalex.org/W2050960118"],"abstract_inverted_index":{"Feature":[0],"space":[1,55,64,108],"conversion":[2,56],"for":[3],"classifiers":[4],"is":[5,13,20,32,57,65,109,122,136],"the":[6,10,18,35,39,62,69,72,97,100,117,127,145,150],"process":[7],"by":[8,68,149],"which":[9],"data":[11,40],"that":[12],"to":[14,25,33,115],"be":[15],"fed":[16],"into":[17],"classifier":[19,118],"transformed":[21],"from":[22,103],"one":[23,88],"form":[24],"another.":[26],"The":[27,79,131],"motivation":[28],"behind":[29],"doing":[30],"this":[31,48],"enhance":[34],"\"discriminative":[36],"power\"":[37],"of":[38,53,61,71,84,99,113,133,144],"together":[41],"with":[42,75,126],"preserving":[43],"its":[44],"\"information":[45],"content\".":[46],"In":[47],"paper,":[49],"a":[50],"new":[51,76,101,106],"method":[52],"feature":[54,63,107,129],"explored,":[58],"wherein":[59],"\"enrichment\"":[60],"carried":[66],"out":[67],"augmentation":[70],"existing":[73],"features":[74,102],"\"implicit\"":[77],"features.":[78],"modus":[80],"operandi":[81],"involves":[82],"generation":[83],"association":[85],"rules":[86],"in":[87,94,124,142],"case":[89],"and":[90,96,119,140],"closed":[91],"frequent":[92],"patterns":[93],"another":[95],"extraction":[98],"these.":[104],"This":[105],"first":[110],"made":[111],"use":[112],"independently":[114],"feed":[116],"then":[120],"it":[121],"used":[123],"unison":[125],"original":[128],"space.":[130],"effectiveness":[132],"these":[134],"methods":[135],"subsequently":[137],"verified":[138],"experimentally":[139],"expressed":[141],"terms":[143],"classification":[146],"accuracy":[147],"achieved":[148],"classifier.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
