{"id":"https://openalex.org/W2771951422","doi":"https://doi.org/10.1109/icacci.2017.8126163","title":"Analysis of feature selection and extraction algorithm for loan data: A big data approach","display_name":"Analysis of feature selection and extraction algorithm for loan data: A big data approach","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2771951422","doi":"https://doi.org/10.1109/icacci.2017.8126163","mag":"2771951422"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2017.8126163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8126163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5045416276","display_name":"Girija Attigeri","orcid":"https://orcid.org/0000-0002-0899-5781"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Girija Attigeri","raw_affiliation_strings":["Department of Information and Communication Technology, Manipal Institute of Technology Manipal University, Manipal, India"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, Manipal Institute of Technology Manipal University, Manipal, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056139480","display_name":"M. M. Manohara Pai","orcid":"https://orcid.org/0000-0003-2164-2945"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M.M. Manohara Pai","raw_affiliation_strings":["Department of Information and Communication Technology, Manipal Institute of Technology Manipal University, Manipal, India"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, Manipal Institute of Technology Manipal University, Manipal, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000742553","display_name":"Radhika M. Pai","orcid":"https://orcid.org/0000-0002-0916-0495"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Radhika M. Pai","raw_affiliation_strings":["Department of Information and Communication Technology, Manipal Institute of Technology Manipal University, Manipal, India"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, Manipal Institute of Technology Manipal University, Manipal, India","institution_ids":["https://openalex.org/I164861460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045416276"],"corresponding_institution_ids":["https://openalex.org/I164861460"],"apc_list":null,"apc_paid":null,"fwci":0.4154,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73552041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"26","issue":null,"first_page":"2147","last_page":"2151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9902999997138977,"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":0.9902999997138977,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7962174415588379},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7833051681518555},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6062273383140564},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5949289202690125},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5713639855384827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5536928772926331},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5287123322486877},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.5121254920959473},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5040847063064575},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.46709272265434265},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.46548357605934143},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4574010968208313},{"id":"https://openalex.org/keywords/loan","display_name":"Loan","score":0.4166830778121948},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38622209429740906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3079261779785156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962174415588379},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7833051681518555},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6062273383140564},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5949289202690125},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5713639855384827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5536928772926331},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5287123322486877},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.5121254920959473},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5040847063064575},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.46709272265434265},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.46548357605934143},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4574010968208313},{"id":"https://openalex.org/C2777764128","wikidata":"https://www.wikidata.org/wiki/Q189539","display_name":"Loan","level":2,"score":0.4166830778121948},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38622209429740906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3079261779785156},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2017.8126163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8126163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W262970172","https://openalex.org/W1491282455","https://openalex.org/W1493357981","https://openalex.org/W1753189824","https://openalex.org/W1952835952","https://openalex.org/W2027913322","https://openalex.org/W2040263621","https://openalex.org/W2122684851","https://openalex.org/W2145511633","https://openalex.org/W2155350878","https://openalex.org/W2162904006","https://openalex.org/W2255078115","https://openalex.org/W6609634455","https://openalex.org/W6637937062","https://openalex.org/W6660556005"],"related_works":["https://openalex.org/W3126131865","https://openalex.org/W2044344400","https://openalex.org/W4253186488","https://openalex.org/W1996938127","https://openalex.org/W2043380045","https://openalex.org/W4231814374","https://openalex.org/W2099557065","https://openalex.org/W2484410460","https://openalex.org/W2250278543","https://openalex.org/W20047544"],"abstract_inverted_index":{"Fraudulent":[0],"activities":[1,14,48],"in":[2],"financial":[3,35,45,94,119,132],"institutes":[4],"can":[5,15],"break":[6],"the":[7,11,31,72,75,105,118,164],"economic":[8],"system":[9],"of":[10,24,30,74,78,93,107,122,155],"country.":[12],"These":[13],"be":[16],"identified":[17],"using":[18,113],"clustering":[19],"and":[20,41,49,59,87,110,136],"classification":[21,129],"algorithms.":[22],"Effectiveness":[23],"these":[25],"algorithms":[26,130],"depend":[27],"on":[28,117,127,142],"quality":[29,73],"input":[32],"data.":[33,62,76,95,120,134],"Moreover,":[34],"data":[36,52],"comes":[37],"from":[38,53],"various":[39,54,128],"sources":[40,55],"forms":[42],"such":[43],"as":[44],"statements,":[46],"stakeholders":[47],"others.":[50],"This":[51],"is":[56,67,81,101,125,139],"very":[57,68],"vast":[58],"unstructured":[60],"big":[61],"Hence,":[63],"parallel":[64],"distributed":[65,137],"pre-processing":[66],"significant":[69],"to":[70,103],"improve":[71],"Objective":[77],"this":[79,97],"work":[80],"dimensionality":[82],"reduction":[83,154],"considering":[84],"feature":[85,108],"selection":[86],"extraction":[88,109],"algorithm":[89,112],"for":[90,131],"large":[91],"volume":[92],"In":[96],"paper":[98],"an":[99],"attempt":[100],"made":[102],"understand":[104],"implications":[106],"transformation":[111],"Principal":[114],"Feature":[115],"Analysis":[116],"Effect":[121],"reduced":[123],"dimension":[124],"studied":[126],"loan":[133],"Parallel":[135],"implementation":[138],"carried":[140],"out":[141],"IBM":[143],"Bluemix":[144],"cloud":[145],"platform":[146],"with":[147],"spark":[148],"notebook.":[149],"The":[150],"results":[151],"show":[152],"that":[153],"features":[156],"has":[157],"significantly":[158],"improved":[159],"execution":[160],"time":[161],"without":[162],"compromising":[163],"accuracy.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}