{"id":"https://openalex.org/W2078216862","doi":"https://doi.org/10.1109/icdim.2012.6360115","title":"Enhancing the performance of decision tree: A research study of dealing with unbalanced data","display_name":"Enhancing the performance of decision tree: A research study of dealing with unbalanced data","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2078216862","doi":"https://doi.org/10.1109/icdim.2012.6360115","mag":"2078216862"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2012.6360115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2012.6360115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Conference on Digital Information Management (ICDIM 2012)","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/A5063703146","display_name":"Amera Almas","orcid":null},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Amera Almas","raw_affiliation_strings":["College of Computers and Information Technology, Taif University, Taif, Saudi Arabia","College of Computers and information Technology, Taif University, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"College of Computers and Information Technology, Taif University, Taif, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]},{"raw_affiliation_string":"College of Computers and information Technology, Taif University, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057893468","display_name":"M.A.H. Farquad","orcid":"https://orcid.org/0000-0003-1401-2507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M.A.H. Farquad","raw_affiliation_strings":["Dept. of CSE Vivekananda, Institute of Technology and Science Bommakal, Karimnagar, INDIA","Dept. of CSE, Vivekananda, Institute of Technology and Science, Bommakal, Karimnagar. INDIA"],"affiliations":[{"raw_affiliation_string":"Dept. of CSE Vivekananda, Institute of Technology and Science Bommakal, Karimnagar, INDIA","institution_ids":[]},{"raw_affiliation_string":"Dept. of CSE, Vivekananda, Institute of Technology and Science, Bommakal, Karimnagar. INDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075513635","display_name":"N.S. Ranganath Avala","orcid":null},"institutions":[{"id":"https://openalex.org/I2800093571","display_name":"TD Bank","ror":"https://ror.org/01pf6nd13","country_code":"US","type":"other","lineage":["https://openalex.org/I2800093571"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N.S. Ranganath Avala","raw_affiliation_strings":["Canara Bank, Bangalore, Karnataka, IN","System Administrator, Dept. of IT Wing, Canara Bank, Bangalore, INDIA"],"affiliations":[{"raw_affiliation_string":"Canara Bank, Bangalore, Karnataka, IN","institution_ids":["https://openalex.org/I2800093571"]},{"raw_affiliation_string":"System Administrator, Dept. of IT Wing, Canara Bank, Bangalore, INDIA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007626956","display_name":"Jabeen Sultana","orcid":"https://orcid.org/0000-0001-7214-0035"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jabeen Sultana","raw_affiliation_strings":["Department of Computers and Information Sciences, University of Hyderabad, Hyderabad, India","Dept. of Computers and Information Sciences, University of Hyderabad, INDIA"],"affiliations":[{"raw_affiliation_string":"Department of Computers and Information Sciences, University of Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"Dept. of Computers and Information Sciences, University of Hyderabad, INDIA","institution_ids":["https://openalex.org/I36893310"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063703146"],"corresponding_institution_ids":["https://openalex.org/I179331831"],"apc_list":null,"apc_paid":null,"fwci":0.4281,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72397323,"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":"7","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.993399977684021,"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":0.9933000206947327,"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/decision-tree","display_name":"Decision tree","score":0.8618119359016418},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.753429114818573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7471016645431519},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.609430193901062},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.60603266954422},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5526434183120728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5214447379112244},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.518316388130188},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.48492294549942017},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.45268383622169495},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.44923853874206543},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.43581217527389526},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13668346405029297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1295766532421112}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.8618119359016418},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.753429114818573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471016645431519},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.609430193901062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.60603266954422},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5526434183120728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5214447379112244},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.518316388130188},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.48492294549942017},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.45268383622169495},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.44923853874206543},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.43581217527389526},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13668346405029297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1295766532421112},{"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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2012.6360115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2012.6360115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Conference on Digital Information Management (ICDIM 2012)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W85350352","https://openalex.org/W142793689","https://openalex.org/W1588282782","https://openalex.org/W1941659294","https://openalex.org/W1973533434","https://openalex.org/W1984438447","https://openalex.org/W1994410331","https://openalex.org/W2038845026","https://openalex.org/W2083780116","https://openalex.org/W2090135786","https://openalex.org/W2107686700","https://openalex.org/W2125055259","https://openalex.org/W2129135939","https://openalex.org/W2135514714","https://openalex.org/W2137029138","https://openalex.org/W2148143831","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2158698691","https://openalex.org/W2167453047","https://openalex.org/W2285627996","https://openalex.org/W2979832949","https://openalex.org/W3120421331","https://openalex.org/W6603460400","https://openalex.org/W6605806949"],"related_works":["https://openalex.org/W1982169401","https://openalex.org/W2030894524","https://openalex.org/W2591672004","https://openalex.org/W1648970942","https://openalex.org/W4243803609","https://openalex.org/W4319437832","https://openalex.org/W4387869645","https://openalex.org/W2348694184","https://openalex.org/W2356463514","https://openalex.org/W2350430350"],"abstract_inverted_index":{"Computational":[0],"intelligence":[1],"techniques":[2,96],"are":[3],"proved":[4],"to":[5,9,57,70],"be":[6,123],"outperforming":[7],"compared":[8],"standard":[10,94],"statistical":[11],"techniques,":[12],"specifically":[13],"when":[14,43],"dealing":[15,44],"with":[16,45,85],"large,":[17],"unbalanced":[18,46,84],"and":[19,62],"high":[20],"dimensional":[21],"data.":[22,47],"In":[23],"this":[24,63],"paper":[25],"we":[26,90],"present":[27],"an":[28],"enhancement":[29],"approach":[30,50,110],"for":[31,97],"improving":[32],"the":[33,52,58,75,108,112],"performance":[34],"of":[35,60,114,127],"decision":[36,72,115],"tree":[37,116],"using":[38],"Support":[39],"Vector":[40],"Machine":[41],"(SVM)":[42],"The":[48],"proposed":[49,109],"modifies":[51],"available":[53],"training":[54,65],"data":[55,66,81],"according":[56],"predictions":[59],"SVM":[61],"modified":[64],"is":[67,82,105],"then":[68],"used":[69],"train":[71],"tree.":[73],"As":[74],"dataset":[76],"at":[77],"hand":[78],"i.e.":[79],"COIL":[80],"highly":[83],"94:6":[86],"class":[87],"distribution":[88],"ratios,":[89],"also":[91],"employed":[92],"various":[93],"sampling":[95],"extensive":[98],"analysis.":[99],"Based":[100],"on":[101],"sensitivity":[102],"measure,":[103],"it":[104],"observed":[106],"that":[107],"enhanced":[111],"efficiency":[113],"exceptionally":[117],"well.":[118],"Other":[119],"intelligent":[120],"methods":[121],"can":[122],"tested":[124],"in":[125],"place":[126],"DT.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"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"}