In Log and Model We Trust? A Generalized Conformance Checking Framework View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Andreas Rogge-Solti , Arik Senderovich , Matthias Weidlich , Jan Mendling , Avigdor Gal

ABSTRACT

While models and event logs are readily available in modern organizations, their quality can seldom be trusted. Raw event recordings are often noisy, incomplete, and contain erroneous recordings. The quality of process models, both conceptual and data-driven, heavily depends on the inputs and parameters that shape these models, such as domain expertise of the modelers and the quality of execution data. The mentioned quality issues are specifically a challenge for conformance checking. Conformance checking is the process mining task that aims at coping with low model or log quality by comparing the model against the corresponding log, or vice versa. The prevalent assumption in the literature is that at least one of the two can be fully trusted. In this work, we propose a generalized conformance checking framework that caters for the common case, when one does neither fully trust the log nor the model. In our experiments we show that our proposed framework balances the trust in model and log as a generalization of state-of-the-art conformance checking techniques. More... »

PAGES

179-196

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-45348-4_11

DOI

http://dx.doi.org/10.1007/978-3-319-45348-4_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084918379


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/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "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": "Vienna University of Economics and Business", 
          "id": "https://www.grid.ac/institutes/grid.15788.33", 
          "name": [
            "Vienna University of Economics and Business"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rogge-Solti", 
        "givenName": "Andreas", 
        "id": "sg:person.012653051715.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012653051715.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technion \u2013 Israel Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6451.6", 
          "name": [
            "Technion\u2013Israel Institute of Technology"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Senderovich", 
        "givenName": "Arik", 
        "id": "sg:person.015176221325.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015176221325.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Humboldt University of Berlin", 
          "id": "https://www.grid.ac/institutes/grid.7468.d", 
          "name": [
            "Humboldt University zu Berlin"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weidlich", 
        "givenName": "Matthias", 
        "id": "sg:person.014661543755.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014661543755.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vienna University of Economics and Business", 
          "id": "https://www.grid.ac/institutes/grid.15788.33", 
          "name": [
            "Vienna University of Economics and Business"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mendling", 
        "givenName": "Jan", 
        "id": "sg:person.016060535047.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016060535047.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technion \u2013 Israel Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6451.6", 
          "name": [
            "Technion\u2013Israel Institute of Technology"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gal", 
        "givenName": "Avigdor", 
        "id": "sg:person.010273726061.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010273726061.39"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.is.2016.01.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000350021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-40919-6_3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000420288", 
          "https://doi.org/10.1007/978-3-642-40919-6_3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.is.2015.08.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001305220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-75183-0_24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002709909", 
          "https://doi.org/10.1007/978-3-540-75183-0_24"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-75183-0_24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002709909", 
          "https://doi.org/10.1007/978-3-540-75183-0_24"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-19345-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006642440", 
          "https://doi.org/10.1007/978-3-642-19345-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-19345-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006642440", 
          "https://doi.org/10.1007/978-3-642-19345-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0950-5849(01)00188-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011370865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-23063-4_15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013809565", 
          "https://doi.org/10.1007/978-3-319-23063-4_15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/2695664.2699493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029931490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-38697-8_17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033493318", 
          "https://doi.org/10.1007/978-3-642-38697-8_17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-10172-9_15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033962437", 
          "https://doi.org/10.1007/978-3-319-10172-9_15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-06257-0_6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034299209", 
          "https://doi.org/10.1007/978-3-319-06257-0_6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-23059-2_15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037870211", 
          "https://doi.org/10.1007/978-3-642-23059-2_15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-23059-2_15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037870211", 
          "https://doi.org/10.1007/978-3-642-23059-2_15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/widm.1045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039490396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-41641-5_10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043765167", 
          "https://doi.org/10.1007/978-3-642-41641-5_10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.is.2007.07.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044918721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00607-015-0441-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047484220", 
          "https://doi.org/10.1007/s00607-015-0441-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00607-015-0441-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047484220", 
          "https://doi.org/10.1007/s00607-015-0441-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.is.2013.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051316188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tkde.2004.47", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061661321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0218843014400012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062983797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icde.2015.7113270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093398238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cec.2012.6256458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094175352"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016", 
    "datePublishedReg": "2016-01-01", 
    "description": "While models and event logs are readily available in modern organizations, their quality can seldom be trusted. Raw event recordings are often noisy, incomplete, and contain erroneous recordings. The quality of process models, both conceptual and data-driven, heavily depends on the inputs and parameters that shape these models, such as domain expertise of the modelers and the quality of execution data. The mentioned quality issues are specifically a challenge for conformance checking. Conformance checking is the process mining task that aims at coping with low model or log quality by comparing the model against the corresponding log, or vice versa. The prevalent assumption in the literature is that at least one of the two can be fully trusted. In this work, we propose a generalized conformance checking framework that caters for the common case, when one does neither fully trust the log nor the model. In our experiments we show that our proposed framework balances the trust in model and log as a generalization of state-of-the-art conformance checking techniques.", 
    "editor": [
      {
        "familyName": "La Rosa", 
        "givenName": "Marcello", 
        "type": "Person"
      }, 
      {
        "familyName": "Loos", 
        "givenName": "Peter", 
        "type": "Person"
      }, 
      {
        "familyName": "Pastor", 
        "givenName": "Oscar", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-45348-4_11", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3795321", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": {
      "isbn": [
        "978-3-319-45347-7", 
        "978-3-319-45348-4"
      ], 
      "name": "Business Process Management", 
      "type": "Book"
    }, 
    "name": "In Log and Model We Trust? A Generalized Conformance Checking Framework", 
    "pagination": "179-196", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-45348-4_11"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e02b5474e3b42dc8720e19f6f847e8a363104db195a6270a1f41382fe9852b3e"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084918379"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-45348-4_11", 
      "https://app.dimensions.ai/details/publication/pub.1084918379"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T21:05", 
    "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_8690_00000279.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-319-45348-4_11"
  }
]
 

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.10.1007/978-3-319-45348-4_11'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-45348-4_11'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-45348-4_11'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-45348-4_11'


 

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

184 TRIPLES      23 PREDICATES      48 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-45348-4_11 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author Nc4150aa9f00149d396ddf12dc6723eae
4 schema:citation sg:pub.10.1007/978-3-319-06257-0_6
5 sg:pub.10.1007/978-3-319-10172-9_15
6 sg:pub.10.1007/978-3-319-23063-4_15
7 sg:pub.10.1007/978-3-540-75183-0_24
8 sg:pub.10.1007/978-3-642-19345-3
9 sg:pub.10.1007/978-3-642-23059-2_15
10 sg:pub.10.1007/978-3-642-38697-8_17
11 sg:pub.10.1007/978-3-642-40919-6_3
12 sg:pub.10.1007/978-3-642-41641-5_10
13 sg:pub.10.1007/s00607-015-0441-1
14 https://doi.org/10.1002/widm.1045
15 https://doi.org/10.1016/j.is.2007.07.001
16 https://doi.org/10.1016/j.is.2013.12.007
17 https://doi.org/10.1016/j.is.2015.08.004
18 https://doi.org/10.1016/j.is.2016.01.002
19 https://doi.org/10.1016/s0950-5849(01)00188-4
20 https://doi.org/10.1109/cec.2012.6256458
21 https://doi.org/10.1109/icde.2015.7113270
22 https://doi.org/10.1109/tkde.2004.47
23 https://doi.org/10.1142/s0218843014400012
24 https://doi.org/10.1145/2695664.2699493
25 schema:datePublished 2016
26 schema:datePublishedReg 2016-01-01
27 schema:description While models and event logs are readily available in modern organizations, their quality can seldom be trusted. Raw event recordings are often noisy, incomplete, and contain erroneous recordings. The quality of process models, both conceptual and data-driven, heavily depends on the inputs and parameters that shape these models, such as domain expertise of the modelers and the quality of execution data. The mentioned quality issues are specifically a challenge for conformance checking. Conformance checking is the process mining task that aims at coping with low model or log quality by comparing the model against the corresponding log, or vice versa. The prevalent assumption in the literature is that at least one of the two can be fully trusted. In this work, we propose a generalized conformance checking framework that caters for the common case, when one does neither fully trust the log nor the model. In our experiments we show that our proposed framework balances the trust in model and log as a generalization of state-of-the-art conformance checking techniques.
28 schema:editor Nf273780e72da4738bb19abfe1a8fcd68
29 schema:genre chapter
30 schema:inLanguage en
31 schema:isAccessibleForFree false
32 schema:isPartOf N4d15d39f34cd4f09b0e8ab7b1ff47685
33 schema:name In Log and Model We Trust? A Generalized Conformance Checking Framework
34 schema:pagination 179-196
35 schema:productId N1cd5d5d006724b0eb6e5944d59d82ea9
36 N379bbe759e224a529d76547a8e5c6ef8
37 Nc4054c4abce3477ebdf4d86cc9717bed
38 schema:publisher Nfede2a76923b4b3a9e5a2f31f228844d
39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084918379
40 https://doi.org/10.1007/978-3-319-45348-4_11
41 schema:sdDatePublished 2019-04-15T21:05
42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
43 schema:sdPublisher N3e5d9138fa2a429a9644a2d8242bb20e
44 schema:url http://link.springer.com/10.1007/978-3-319-45348-4_11
45 sgo:license sg:explorer/license/
46 sgo:sdDataset chapters
47 rdf:type schema:Chapter
48 N068e6bcae8f444cfa91b94d14d59d034 rdf:first sg:person.016060535047.44
49 rdf:rest N2a5de3d7966845328f02d1ea54de574a
50 N1cd5d5d006724b0eb6e5944d59d82ea9 schema:name dimensions_id
51 schema:value pub.1084918379
52 rdf:type schema:PropertyValue
53 N2a5de3d7966845328f02d1ea54de574a rdf:first sg:person.010273726061.39
54 rdf:rest rdf:nil
55 N2f258d1e45df471c81d4fda3cb64c753 rdf:first sg:person.014661543755.05
56 rdf:rest N068e6bcae8f444cfa91b94d14d59d034
57 N379bbe759e224a529d76547a8e5c6ef8 schema:name readcube_id
58 schema:value e02b5474e3b42dc8720e19f6f847e8a363104db195a6270a1f41382fe9852b3e
59 rdf:type schema:PropertyValue
60 N3e5d9138fa2a429a9644a2d8242bb20e schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 N3fbefb3917c348b7a7c1783677f8942e rdf:first N8c7e042e7d0f4bbb9b232def997c460e
63 rdf:rest Na60c48e9b9fd47599e4502cff7db5f45
64 N4d15d39f34cd4f09b0e8ab7b1ff47685 schema:isbn 978-3-319-45347-7
65 978-3-319-45348-4
66 schema:name Business Process Management
67 rdf:type schema:Book
68 N8a7dfa4da0484077ac0f7f91a26164b3 schema:familyName La Rosa
69 schema:givenName Marcello
70 rdf:type schema:Person
71 N8c7e042e7d0f4bbb9b232def997c460e schema:familyName Loos
72 schema:givenName Peter
73 rdf:type schema:Person
74 Na60c48e9b9fd47599e4502cff7db5f45 rdf:first Neaf328067dc24b5dacc63e6b851a65e3
75 rdf:rest rdf:nil
76 Nb7351dc1460d435db37bf3eea48b89f6 rdf:first sg:person.015176221325.91
77 rdf:rest N2f258d1e45df471c81d4fda3cb64c753
78 Nc4054c4abce3477ebdf4d86cc9717bed schema:name doi
79 schema:value 10.1007/978-3-319-45348-4_11
80 rdf:type schema:PropertyValue
81 Nc4150aa9f00149d396ddf12dc6723eae rdf:first sg:person.012653051715.35
82 rdf:rest Nb7351dc1460d435db37bf3eea48b89f6
83 Neaf328067dc24b5dacc63e6b851a65e3 schema:familyName Pastor
84 schema:givenName Oscar
85 rdf:type schema:Person
86 Nf273780e72da4738bb19abfe1a8fcd68 rdf:first N8a7dfa4da0484077ac0f7f91a26164b3
87 rdf:rest N3fbefb3917c348b7a7c1783677f8942e
88 Nfede2a76923b4b3a9e5a2f31f228844d schema:location Cham
89 schema:name Springer International Publishing
90 rdf:type schema:Organisation
91 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
92 schema:name Information and Computing Sciences
93 rdf:type schema:DefinedTerm
94 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
95 schema:name Information Systems
96 rdf:type schema:DefinedTerm
97 sg:grant.3795321 http://pending.schema.org/fundedItem sg:pub.10.1007/978-3-319-45348-4_11
98 rdf:type schema:MonetaryGrant
99 sg:person.010273726061.39 schema:affiliation https://www.grid.ac/institutes/grid.6451.6
100 schema:familyName Gal
101 schema:givenName Avigdor
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010273726061.39
103 rdf:type schema:Person
104 sg:person.012653051715.35 schema:affiliation https://www.grid.ac/institutes/grid.15788.33
105 schema:familyName Rogge-Solti
106 schema:givenName Andreas
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012653051715.35
108 rdf:type schema:Person
109 sg:person.014661543755.05 schema:affiliation https://www.grid.ac/institutes/grid.7468.d
110 schema:familyName Weidlich
111 schema:givenName Matthias
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014661543755.05
113 rdf:type schema:Person
114 sg:person.015176221325.91 schema:affiliation https://www.grid.ac/institutes/grid.6451.6
115 schema:familyName Senderovich
116 schema:givenName Arik
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015176221325.91
118 rdf:type schema:Person
119 sg:person.016060535047.44 schema:affiliation https://www.grid.ac/institutes/grid.15788.33
120 schema:familyName Mendling
121 schema:givenName Jan
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016060535047.44
123 rdf:type schema:Person
124 sg:pub.10.1007/978-3-319-06257-0_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034299209
125 https://doi.org/10.1007/978-3-319-06257-0_6
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/978-3-319-10172-9_15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033962437
128 https://doi.org/10.1007/978-3-319-10172-9_15
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/978-3-319-23063-4_15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013809565
131 https://doi.org/10.1007/978-3-319-23063-4_15
132 rdf:type schema:CreativeWork
133 sg:pub.10.1007/978-3-540-75183-0_24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002709909
134 https://doi.org/10.1007/978-3-540-75183-0_24
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/978-3-642-19345-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006642440
137 https://doi.org/10.1007/978-3-642-19345-3
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/978-3-642-23059-2_15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037870211
140 https://doi.org/10.1007/978-3-642-23059-2_15
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/978-3-642-38697-8_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033493318
143 https://doi.org/10.1007/978-3-642-38697-8_17
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/978-3-642-40919-6_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000420288
146 https://doi.org/10.1007/978-3-642-40919-6_3
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/978-3-642-41641-5_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043765167
149 https://doi.org/10.1007/978-3-642-41641-5_10
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/s00607-015-0441-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047484220
152 https://doi.org/10.1007/s00607-015-0441-1
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1002/widm.1045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039490396
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.is.2007.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044918721
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.is.2013.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051316188
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.is.2015.08.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001305220
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.is.2016.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000350021
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/s0950-5849(01)00188-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011370865
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1109/cec.2012.6256458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094175352
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1109/icde.2015.7113270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093398238
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1109/tkde.2004.47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061661321
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1142/s0218843014400012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062983797
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1145/2695664.2699493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029931490
175 rdf:type schema:CreativeWork
176 https://www.grid.ac/institutes/grid.15788.33 schema:alternateName Vienna University of Economics and Business
177 schema:name Vienna University of Economics and Business
178 rdf:type schema:Organization
179 https://www.grid.ac/institutes/grid.6451.6 schema:alternateName Technion – Israel Institute of Technology
180 schema:name Technion–Israel Institute of Technology
181 rdf:type schema:Organization
182 https://www.grid.ac/institutes/grid.7468.d schema:alternateName Humboldt University of Berlin
183 schema:name Humboldt University zu Berlin
184 rdf:type schema:Organization
 




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


...