Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Vicente García, Ana I. Marqués, J. Salvador Sánchez, Humberto J. Ochoa-Domínguez

ABSTRACT

Bankruptcy prediction has acquired great relevance for financial institutions due to the complexity of global economies and the growing number of corporate failures, especially since the world financial crisis of 2008. In this paper, the problem of corporate bankruptcy prediction is faced by means of four linear classifiers (Fisher’s linear discriminant, linear discriminant classifier, support vector machine and logistic regression), which are designed on the dissimilarity space instead of the classical feature space. Experimental results indicate that the prediction methods implemented with the dissimilarity representation perform considerably better than the same techniques when applied onto the feature space, in terms of overall accuracy, true-positive rate and true-negative rate. More... »

PAGES

1019-1031

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10614-017-9783-4

DOI

http://dx.doi.org/10.1007/s10614-017-9783-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099694917


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez", 
          "id": "https://www.grid.ac/institutes/grid.441213.1", 
          "name": [
            "Divisi\u00f3n Multidisciplinaria en Ciudad Universitaria, Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez, 32310, Ciudad Ju\u00e1rez, Chihuahua, Mexico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garc\u00eda", 
        "givenName": "Vicente", 
        "id": "sg:person.011403631473.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011403631473.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jaume I University", 
          "id": "https://www.grid.ac/institutes/grid.9612.c", 
          "name": [
            "Department of Business Administration and Marketing, Universitat Jaume I, 12071, Castell\u00f3n de la Plana, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marqu\u00e9s", 
        "givenName": "Ana I.", 
        "id": "sg:person.013071314641.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013071314641.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jaume I University", 
          "id": "https://www.grid.ac/institutes/grid.9612.c", 
          "name": [
            "Institute of New Imaging Technologies, Department of Computer Languages and Systems, Universitat Jaume I, 12071, Castell\u00f3n de la Plana, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "S\u00e1nchez", 
        "givenName": "J. Salvador", 
        "id": "sg:person.011032571753.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011032571753.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez", 
          "id": "https://www.grid.ac/institutes/grid.441213.1", 
          "name": [
            "Department of Electrical and Computer Engineering, Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez, 32310, Ciudad Ju\u00e1rez, Chihuahua, Mexico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ochoa-Dom\u00ednguez", 
        "givenName": "Humberto J.", 
        "id": "sg:person.013574153073.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013574153073.26"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.omega.2004.04.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003659560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8655(02)00024-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004857397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patcog.2005.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007696700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patcog.2005.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007696700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1468-5957.1987.tb00113.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007712767"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10844-014-0333-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010043170", 
          "https://doi.org/10.1007/s10844-014-0333-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10844-014-0333-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010043170", 
          "https://doi.org/10.1007/s10844-014-0333-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10462-015-9433-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010172209", 
          "https://doi.org/10.1007/s10462-015-9433-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10614-016-9562-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010466718", 
          "https://doi.org/10.1007/s10614-016-9562-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10614-012-9332-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011655183", 
          "https://doi.org/10.1007/s10614-012-9332-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eswa.2013.07.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012326270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eswa.2013.12.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012533966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.asoc.2016.04.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012709706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eswa.2004.08.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014336607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejor.2007.11.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018827156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.asoc.2014.08.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019311708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eswa.2004.12.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023604771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.inffus.2011.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027436241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejor.2006.04.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027611704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00500-009-0490-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028389029", 
          "https://doi.org/10.1007/s00500-009-0490-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00500-009-0490-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028389029", 
          "https://doi.org/10.1007/s00500-009-0490-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00500-009-0490-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028389029", 
          "https://doi.org/10.1007/s00500-009-0490-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-4266(85)90021-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032037518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-4266(85)90021-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032037518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-4266(77)90017-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032787246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-4266(77)90017-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032787246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patrec.2011.04.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033024481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4471-5628-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033979368", 
          "https://doi.org/10.1007/978-1-4471-5628-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4471-5628-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033979368", 
          "https://doi.org/10.1007/978-1-4471-5628-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0957-4174(03)00102-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034489990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0957-4174(03)00102-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034489990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8655(99)00085-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034553146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejor.2006.08.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035959410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0377-2217(03)00186-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036435942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0377-2217(03)00186-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036435942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00949655.2012.666550", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037245102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10614-013-9392-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040245975", 
          "https://doi.org/10.1007/s10614-013-9392-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.dss.2007.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042099380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bar.2005.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045026768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bar.2005.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045026768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2308/accr.2004.79.4.1011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046728112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejor.2004.06.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047023471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10798587.2012.10643227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049365707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-9236(94)90024-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049613631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-9236(94)90024-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049613631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1108/14720700610649436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049737777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1050158459", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-2885-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050158459", 
          "https://doi.org/10.1007/978-1-4757-2885-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-2885-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050158459", 
          "https://doi.org/10.1007/978-1-4757-2885-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.1099-1174.1995.tb00078.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050460223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11156-011-0238-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050512852", 
          "https://doi.org/10.1007/s11156-011-0238-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1099-1174(200009)9:3<159::aid-isaf184>3.0.co;2-c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052596477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.dss.2011.10.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054732169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jproc.2012.2188013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061297585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2490395", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069940144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2490859", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069940552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/5965", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098931428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/9781118266236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109699105"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03", 
    "datePublishedReg": "2019-03-01", 
    "description": "Bankruptcy prediction has acquired great relevance for financial institutions due to the complexity of global economies and the growing number of corporate failures, especially since the world financial crisis of 2008. In this paper, the problem of corporate bankruptcy prediction is faced by means of four linear classifiers (Fisher\u2019s linear discriminant, linear discriminant classifier, support vector machine and logistic regression), which are designed on the dissimilarity space instead of the classical feature space. Experimental results indicate that the prediction methods implemented with the dissimilarity representation perform considerably better than the same techniques when applied onto the feature space, in terms of overall accuracy, true-positive rate and true-negative rate.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10614-017-9783-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136328", 
        "issn": [
          "0927-7099", 
          "1572-9974"
        ], 
        "name": "Computational Economics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "53"
      }
    ], 
    "name": "Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction", 
    "pagination": "1019-1031", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "462d062d236e7aafdf4d0f8f189acb3f919a1e481a366815bc0e37c5ca67b2ba"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10614-017-9783-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1099694917"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10614-017-9783-4", 
      "https://app.dimensions.ai/details/publication/pub.1099694917"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:08", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000353_0000000353/records_45335_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10614-017-9783-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10614-017-9783-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10614-017-9783-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10614-017-9783-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10614-017-9783-4'


 

This table displays all metadata directly associated to this object as RDF triples.

233 TRIPLES      21 PREDICATES      73 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10614-017-9783-4 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Na82a64f7ec734eeda270ee3e727321db
4 schema:citation sg:pub.10.1007/978-1-4471-5628-4
5 sg:pub.10.1007/978-1-4757-2885-9
6 sg:pub.10.1007/s00500-009-0490-5
7 sg:pub.10.1007/s10462-015-9433-y
8 sg:pub.10.1007/s10614-012-9332-0
9 sg:pub.10.1007/s10614-013-9392-9
10 sg:pub.10.1007/s10614-016-9562-7
11 sg:pub.10.1007/s10844-014-0333-4
12 sg:pub.10.1007/s11156-011-0238-z
13 https://app.dimensions.ai/details/publication/pub.1050158459
14 https://doi.org/10.1002/1099-1174(200009)9:3<159::aid-isaf184>3.0.co;2-c
15 https://doi.org/10.1002/9781118266236
16 https://doi.org/10.1002/j.1099-1174.1995.tb00078.x
17 https://doi.org/10.1016/0167-9236(94)90024-8
18 https://doi.org/10.1016/0378-4266(77)90017-6
19 https://doi.org/10.1016/0378-4266(85)90021-4
20 https://doi.org/10.1016/j.asoc.2014.08.047
21 https://doi.org/10.1016/j.asoc.2016.04.005
22 https://doi.org/10.1016/j.bar.2005.09.001
23 https://doi.org/10.1016/j.dss.2007.12.002
24 https://doi.org/10.1016/j.dss.2011.10.007
25 https://doi.org/10.1016/j.ejor.2004.06.013
26 https://doi.org/10.1016/j.ejor.2006.04.019
27 https://doi.org/10.1016/j.ejor.2006.08.043
28 https://doi.org/10.1016/j.ejor.2007.11.036
29 https://doi.org/10.1016/j.eswa.2004.08.009
30 https://doi.org/10.1016/j.eswa.2004.12.008
31 https://doi.org/10.1016/j.eswa.2013.07.032
32 https://doi.org/10.1016/j.eswa.2013.12.003
33 https://doi.org/10.1016/j.inffus.2011.12.001
34 https://doi.org/10.1016/j.omega.2004.04.002
35 https://doi.org/10.1016/j.patcog.2005.06.012
36 https://doi.org/10.1016/j.patrec.2011.04.019
37 https://doi.org/10.1016/s0167-8655(02)00024-7
38 https://doi.org/10.1016/s0167-8655(99)00085-9
39 https://doi.org/10.1016/s0377-2217(03)00186-3
40 https://doi.org/10.1016/s0957-4174(03)00102-7
41 https://doi.org/10.1080/00949655.2012.666550
42 https://doi.org/10.1080/10798587.2012.10643227
43 https://doi.org/10.1108/14720700610649436
44 https://doi.org/10.1109/jproc.2012.2188013
45 https://doi.org/10.1111/j.1468-5957.1987.tb00113.x
46 https://doi.org/10.1142/5965
47 https://doi.org/10.2307/2490395
48 https://doi.org/10.2307/2490859
49 https://doi.org/10.2308/accr.2004.79.4.1011
50 schema:datePublished 2019-03
51 schema:datePublishedReg 2019-03-01
52 schema:description Bankruptcy prediction has acquired great relevance for financial institutions due to the complexity of global economies and the growing number of corporate failures, especially since the world financial crisis of 2008. In this paper, the problem of corporate bankruptcy prediction is faced by means of four linear classifiers (Fisher’s linear discriminant, linear discriminant classifier, support vector machine and logistic regression), which are designed on the dissimilarity space instead of the classical feature space. Experimental results indicate that the prediction methods implemented with the dissimilarity representation perform considerably better than the same techniques when applied onto the feature space, in terms of overall accuracy, true-positive rate and true-negative rate.
53 schema:genre research_article
54 schema:inLanguage en
55 schema:isAccessibleForFree false
56 schema:isPartOf N6a327d08e11f4c798f3195709594f5e0
57 N7204f5d53b504c6293d1a0b41c3d9287
58 sg:journal.1136328
59 schema:name Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction
60 schema:pagination 1019-1031
61 schema:productId N0042a950d68b4eabbb4fa89a7a67c6cf
62 N1c295a286ad34d7d8a900130eec169ba
63 N506ba36779d942588961df7a89366e43
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099694917
65 https://doi.org/10.1007/s10614-017-9783-4
66 schema:sdDatePublished 2019-04-11T11:08
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N093a253a4030456ebc0f025976f73224
69 schema:url https://link.springer.com/10.1007%2Fs10614-017-9783-4
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N0042a950d68b4eabbb4fa89a7a67c6cf schema:name doi
74 schema:value 10.1007/s10614-017-9783-4
75 rdf:type schema:PropertyValue
76 N093a253a4030456ebc0f025976f73224 schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 N1c295a286ad34d7d8a900130eec169ba schema:name dimensions_id
79 schema:value pub.1099694917
80 rdf:type schema:PropertyValue
81 N506ba36779d942588961df7a89366e43 schema:name readcube_id
82 schema:value 462d062d236e7aafdf4d0f8f189acb3f919a1e481a366815bc0e37c5ca67b2ba
83 rdf:type schema:PropertyValue
84 N5968d4df271042ee8eaf498f30d67e40 rdf:first sg:person.013071314641.18
85 rdf:rest Nd93e799a8c774995a9baec3fcb9dd760
86 N6a327d08e11f4c798f3195709594f5e0 schema:volumeNumber 53
87 rdf:type schema:PublicationVolume
88 N7204f5d53b504c6293d1a0b41c3d9287 schema:issueNumber 3
89 rdf:type schema:PublicationIssue
90 N84e6f46edbcf4addb928516032914ae6 rdf:first sg:person.013574153073.26
91 rdf:rest rdf:nil
92 Na82a64f7ec734eeda270ee3e727321db rdf:first sg:person.011403631473.51
93 rdf:rest N5968d4df271042ee8eaf498f30d67e40
94 Nd93e799a8c774995a9baec3fcb9dd760 rdf:first sg:person.011032571753.10
95 rdf:rest N84e6f46edbcf4addb928516032914ae6
96 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
97 schema:name Information and Computing Sciences
98 rdf:type schema:DefinedTerm
99 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
100 schema:name Artificial Intelligence and Image Processing
101 rdf:type schema:DefinedTerm
102 sg:journal.1136328 schema:issn 0927-7099
103 1572-9974
104 schema:name Computational Economics
105 rdf:type schema:Periodical
106 sg:person.011032571753.10 schema:affiliation https://www.grid.ac/institutes/grid.9612.c
107 schema:familyName Sánchez
108 schema:givenName J. Salvador
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011032571753.10
110 rdf:type schema:Person
111 sg:person.011403631473.51 schema:affiliation https://www.grid.ac/institutes/grid.441213.1
112 schema:familyName García
113 schema:givenName Vicente
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011403631473.51
115 rdf:type schema:Person
116 sg:person.013071314641.18 schema:affiliation https://www.grid.ac/institutes/grid.9612.c
117 schema:familyName Marqués
118 schema:givenName Ana I.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013071314641.18
120 rdf:type schema:Person
121 sg:person.013574153073.26 schema:affiliation https://www.grid.ac/institutes/grid.441213.1
122 schema:familyName Ochoa-Domínguez
123 schema:givenName Humberto J.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013574153073.26
125 rdf:type schema:Person
126 sg:pub.10.1007/978-1-4471-5628-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033979368
127 https://doi.org/10.1007/978-1-4471-5628-4
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/978-1-4757-2885-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050158459
130 https://doi.org/10.1007/978-1-4757-2885-9
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/s00500-009-0490-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028389029
133 https://doi.org/10.1007/s00500-009-0490-5
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s10462-015-9433-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1010172209
136 https://doi.org/10.1007/s10462-015-9433-y
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s10614-012-9332-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011655183
139 https://doi.org/10.1007/s10614-012-9332-0
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s10614-013-9392-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040245975
142 https://doi.org/10.1007/s10614-013-9392-9
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/s10614-016-9562-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010466718
145 https://doi.org/10.1007/s10614-016-9562-7
146 rdf:type schema:CreativeWork
147 sg:pub.10.1007/s10844-014-0333-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010043170
148 https://doi.org/10.1007/s10844-014-0333-4
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/s11156-011-0238-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1050512852
151 https://doi.org/10.1007/s11156-011-0238-z
152 rdf:type schema:CreativeWork
153 https://app.dimensions.ai/details/publication/pub.1050158459 schema:CreativeWork
154 https://doi.org/10.1002/1099-1174(200009)9:3<159::aid-isaf184>3.0.co;2-c schema:sameAs https://app.dimensions.ai/details/publication/pub.1052596477
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1002/9781118266236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109699105
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1002/j.1099-1174.1995.tb00078.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050460223
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/0167-9236(94)90024-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049613631
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/0378-4266(77)90017-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032787246
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/0378-4266(85)90021-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032037518
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.asoc.2014.08.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019311708
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.asoc.2016.04.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012709706
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.bar.2005.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045026768
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.dss.2007.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042099380
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.dss.2011.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054732169
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.ejor.2004.06.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047023471
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.ejor.2006.04.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027611704
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.ejor.2006.08.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035959410
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.ejor.2007.11.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018827156
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.eswa.2004.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014336607
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.eswa.2004.12.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023604771
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.eswa.2013.07.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012326270
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.eswa.2013.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012533966
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/j.inffus.2011.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027436241
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.omega.2004.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003659560
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.patcog.2005.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007696700
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.patrec.2011.04.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033024481
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/s0167-8655(02)00024-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004857397
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/s0167-8655(99)00085-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034553146
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/s0377-2217(03)00186-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036435942
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/s0957-4174(03)00102-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034489990
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1080/00949655.2012.666550 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037245102
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1080/10798587.2012.10643227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049365707
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1108/14720700610649436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049737777
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1109/jproc.2012.2188013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061297585
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1111/j.1468-5957.1987.tb00113.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007712767
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1142/5965 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098931428
219 rdf:type schema:CreativeWork
220 https://doi.org/10.2307/2490395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069940144
221 rdf:type schema:CreativeWork
222 https://doi.org/10.2307/2490859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069940552
223 rdf:type schema:CreativeWork
224 https://doi.org/10.2308/accr.2004.79.4.1011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046728112
225 rdf:type schema:CreativeWork
226 https://www.grid.ac/institutes/grid.441213.1 schema:alternateName Universidad Autónoma de Ciudad Juárez
227 schema:name Department of Electrical and Computer Engineering, Universidad Autónoma de Ciudad Juárez, 32310, Ciudad Juárez, Chihuahua, Mexico
228 División Multidisciplinaria en Ciudad Universitaria, Universidad Autónoma de Ciudad Juárez, 32310, Ciudad Juárez, Chihuahua, Mexico
229 rdf:type schema:Organization
230 https://www.grid.ac/institutes/grid.9612.c schema:alternateName Jaume I University
231 schema:name Department of Business Administration and Marketing, Universitat Jaume I, 12071, Castellón de la Plana, Spain
232 Institute of New Imaging Technologies, Department of Computer Languages and Systems, Universitat Jaume I, 12071, Castellón de la Plana, Spain
233 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...