Classification Accuracy: Machine Learning vs. Explicit Knowledge Acquisition View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1995-01

AUTHORS

Arie Ben-David, Janice Mandel

ABSTRACT

This empirical study provides evidence that machine learning models can provide better classification accuracy than explicit knowledge acquisition techniques. The findings suggest that the main contribution of machine learning to expert systems is not just cost reduction, but rather the provision of tools for the development of better expert systems.

PAGES

109-114

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1022826724635

DOI

http://dx.doi.org/10.1023/a:1022826724635

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052908547


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": "Hebrew University of Jerusalem", 
          "id": "https://www.grid.ac/institutes/grid.9619.7", 
          "name": [
            "Management Information Systems, The Hebrew University of Jerusalem, Mount Scopus, 91905, Jerusalem, Israel"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ben-David", 
        "givenName": "Arie", 
        "id": "sg:person.015316356425.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015316356425.22"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Mandel", 
        "givenName": "Janice", 
        "id": "sg:person.016462555330.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016462555330.96"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1037/0033-2909.83.2.213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003795219"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0020-7373(89)80002-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009835061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-12405-5_15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016127667", 
          "https://doi.org/10.1007/978-3-662-12405-5_15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0749-5978(88)90013-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018250289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/h0037613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022236592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-934613-41-5.50006-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025827263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00130712", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029654374", 
          "https://doi.org/10.1007/bf00130712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00130712", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029654374", 
          "https://doi.org/10.1007/bf00130712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1540-5915.1992.tb00453.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033027955"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-8640.1989.tb00314.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047888494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mnsc.38.7.926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064720963"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1995-01", 
    "datePublishedReg": "1995-01-01", 
    "description": "This empirical study provides evidence that machine learning models can provide better classification accuracy than explicit knowledge acquisition techniques. The findings suggest that the main contribution of machine learning to expert systems is not just cost reduction, but rather the provision of tools for the development of better expert systems.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/a:1022826724635", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1125588", 
        "issn": [
          "0885-6125", 
          "1573-0565"
        ], 
        "name": "Machine Learning", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Classification Accuracy: Machine Learning vs. Explicit Knowledge Acquisition", 
    "pagination": "109-114", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fc04e1065e8d5fc5cacd151b8d07594905b067800de914eae8a6f35a2fbb427b"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1022826724635"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052908547"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1022826724635", 
      "https://app.dimensions.ai/details/publication/pub.1052908547"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:15", 
    "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/v90/0000000001_0000000264/records_8659_00000508.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023%2FA%3A1022826724635"
  }
]
 

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.10.1023/a:1022826724635'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1022826724635'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1022826724635'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1022826724635'


 

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

99 TRIPLES      21 PREDICATES      37 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1022826724635 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Na112fb606bf741b79f4ef5e0cd07dfcb
4 schema:citation sg:pub.10.1007/978-3-662-12405-5_15
5 sg:pub.10.1007/bf00130712
6 https://doi.org/10.1016/0749-5978(88)90013-1
7 https://doi.org/10.1016/b978-0-934613-41-5.50006-4
8 https://doi.org/10.1016/s0020-7373(89)80002-1
9 https://doi.org/10.1037/0033-2909.83.2.213
10 https://doi.org/10.1037/h0037613
11 https://doi.org/10.1111/j.1467-8640.1989.tb00314.x
12 https://doi.org/10.1111/j.1540-5915.1992.tb00453.x
13 https://doi.org/10.1287/mnsc.38.7.926
14 schema:datePublished 1995-01
15 schema:datePublishedReg 1995-01-01
16 schema:description This empirical study provides evidence that machine learning models can provide better classification accuracy than explicit knowledge acquisition techniques. The findings suggest that the main contribution of machine learning to expert systems is not just cost reduction, but rather the provision of tools for the development of better expert systems.
17 schema:genre research_article
18 schema:inLanguage en
19 schema:isAccessibleForFree true
20 schema:isPartOf N031537a8a79e4a189c231880a1812739
21 N95bfae7b08fe4626a524aa39874f6f5b
22 sg:journal.1125588
23 schema:name Classification Accuracy: Machine Learning vs. Explicit Knowledge Acquisition
24 schema:pagination 109-114
25 schema:productId N2a341635233e4c54bba49488d3711932
26 Nb47e8bb38b3049c9ac4d906023d85fc2
27 Nbec796a7332f459daab72e36ed4439d0
28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052908547
29 https://doi.org/10.1023/a:1022826724635
30 schema:sdDatePublished 2019-04-10T13:15
31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
32 schema:sdPublisher N7fa2c60ade6942cf8af7f494750fc718
33 schema:url http://link.springer.com/10.1023%2FA%3A1022826724635
34 sgo:license sg:explorer/license/
35 sgo:sdDataset articles
36 rdf:type schema:ScholarlyArticle
37 N031537a8a79e4a189c231880a1812739 schema:issueNumber 1
38 rdf:type schema:PublicationIssue
39 N236a75cc9afe49cc802ba50aefe3080f rdf:first sg:person.016462555330.96
40 rdf:rest rdf:nil
41 N2a341635233e4c54bba49488d3711932 schema:name dimensions_id
42 schema:value pub.1052908547
43 rdf:type schema:PropertyValue
44 N7fa2c60ade6942cf8af7f494750fc718 schema:name Springer Nature - SN SciGraph project
45 rdf:type schema:Organization
46 N95bfae7b08fe4626a524aa39874f6f5b schema:volumeNumber 18
47 rdf:type schema:PublicationVolume
48 Na112fb606bf741b79f4ef5e0cd07dfcb rdf:first sg:person.015316356425.22
49 rdf:rest N236a75cc9afe49cc802ba50aefe3080f
50 Nb47e8bb38b3049c9ac4d906023d85fc2 schema:name readcube_id
51 schema:value fc04e1065e8d5fc5cacd151b8d07594905b067800de914eae8a6f35a2fbb427b
52 rdf:type schema:PropertyValue
53 Nbec796a7332f459daab72e36ed4439d0 schema:name doi
54 schema:value 10.1023/a:1022826724635
55 rdf:type schema:PropertyValue
56 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
57 schema:name Information and Computing Sciences
58 rdf:type schema:DefinedTerm
59 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
60 schema:name Artificial Intelligence and Image Processing
61 rdf:type schema:DefinedTerm
62 sg:journal.1125588 schema:issn 0885-6125
63 1573-0565
64 schema:name Machine Learning
65 rdf:type schema:Periodical
66 sg:person.015316356425.22 schema:affiliation https://www.grid.ac/institutes/grid.9619.7
67 schema:familyName Ben-David
68 schema:givenName Arie
69 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015316356425.22
70 rdf:type schema:Person
71 sg:person.016462555330.96 schema:familyName Mandel
72 schema:givenName Janice
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016462555330.96
74 rdf:type schema:Person
75 sg:pub.10.1007/978-3-662-12405-5_15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016127667
76 https://doi.org/10.1007/978-3-662-12405-5_15
77 rdf:type schema:CreativeWork
78 sg:pub.10.1007/bf00130712 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029654374
79 https://doi.org/10.1007/bf00130712
80 rdf:type schema:CreativeWork
81 https://doi.org/10.1016/0749-5978(88)90013-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018250289
82 rdf:type schema:CreativeWork
83 https://doi.org/10.1016/b978-0-934613-41-5.50006-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025827263
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1016/s0020-7373(89)80002-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009835061
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1037/0033-2909.83.2.213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003795219
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1037/h0037613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022236592
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1111/j.1467-8640.1989.tb00314.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047888494
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1111/j.1540-5915.1992.tb00453.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033027955
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1287/mnsc.38.7.926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064720963
96 rdf:type schema:CreativeWork
97 https://www.grid.ac/institutes/grid.9619.7 schema:alternateName Hebrew University of Jerusalem
98 schema:name Management Information Systems, The Hebrew University of Jerusalem, Mount Scopus, 91905, Jerusalem, Israel
99 rdf:type schema:Organization
 




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


...