Ensuring Model Consistency in Declarative Process Discovery View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Claudio Di Ciccio , Fabrizio Maria Maggi , Marco Montali , Jan Mendling

ABSTRACT

Declarative process models define the behaviour of business processes as a set of constraints. Declarative process discovery aims at inferring such constraints from event logs. Existing discovery techniques verify the satisfaction of candidate constraints over the log, but completely neglect their interactions. As a result, the inferred constraints can be mutually contradicting and their interplay may lead to an inconsistent process model that does not accept any trace. In such a case, the output turns out to be unusable for enactment, simulation or verification purposes. In addition, the discovered model contains, in general, redundancies that are due to complex interactions of several constraints and that cannot be solved using existing pruning approaches. We address these problems by proposing a technique that automatically resolves conflicts within the discovered models and is more powerful than existing pruning techniques to eliminate redundancies. First, we formally define the problems of constraint redundancy and conflict resolution. Thereafter, we introduce techniques based on the notion of an automata-product monoid that guarantee the consistency of the discovered models and, at the same time, keep the most interesting constraints in the pruned set. We evaluate the devised techniques on real-world benchmarks. More... »

PAGES

144-159

References to SciGraph publications

  • 2007-10. Mining process models with non-free-choice constructs in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2009. Exploiting Inductive Logic Programming Techniques for Declarative Process Mining in TRANSACTIONS ON PETRI NETS AND OTHER MODELS OF CONCURRENCY II
  • 2012. Patterns for a Log-Based Strengthening of Declarative Compliance Models in INTEGRATED FORMAL METHODS
  • 2010. Probabilistic Declarative Process Mining in KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT
  • 2012. Efficient Discovery of Understandable Declarative Process Models from Event Logs in ACTIVE FLOW AND COMBUSTION CONTROL 2018
  • 2007. Inducing Declarative Logic-Based Models from Labeled Traces in BUSINESS PROCESS MANAGEMENT
  • 2013. A Knowledge-Based Integrated Approach for Discovering and Repairing Declare Maps in ADVANCED INFORMATION SYSTEMS ENGINEERING
  • 2013. Declarative Modeling–An Academic Dream or the Future for BPM? in BUSINESS PROCESS MANAGEMENT
  • Book

    TITLE

    Business Process Management

    ISBN

    978-3-319-23062-7
    978-3-319-23063-4

    From Grant

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-23063-4_9

    DOI

    http://dx.doi.org/10.1007/978-3-319-23063-4_9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045100521


    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/2008/0802", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Computation Theory and Mathematics", 
            "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": "Di Ciccio", 
            "givenName": "Claudio", 
            "id": "sg:person.016473360606.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016473360606.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tartu", 
              "id": "https://www.grid.ac/institutes/grid.10939.32", 
              "name": [
                "University of Tartu"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Maggi", 
            "givenName": "Fabrizio Maria", 
            "id": "sg:person.013145177327.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013145177327.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Free University of Bozen-Bolzano", 
              "id": "https://www.grid.ac/institutes/grid.34988.3e", 
              "name": [
                "Free University of Bozen-Bolzano"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Montali", 
            "givenName": "Marco", 
            "id": "sg:person.012257615141.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012257615141.02"
            ], 
            "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"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.is.2011.04.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005653123"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0004-3702(03)00117-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005787718"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0004-3702(03)00117-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005787718"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-15280-1_28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008926465", 
              "https://doi.org/10.1007/978-3-642-15280-1_28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-15280-1_28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008926465", 
              "https://doi.org/10.1007/978-3-642-15280-1_28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-31095-9_18", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011418389", 
              "https://doi.org/10.1007/978-3-642-31095-9_18"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10618-007-0065-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012480132", 
              "https://doi.org/10.1007/s10618-007-0065-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-75183-0_25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018376055", 
              "https://doi.org/10.1007/978-3-540-75183-0_25"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-75183-0_25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018376055", 
              "https://doi.org/10.1007/978-3-540-75183-0_25"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-30729-4_23", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023352691", 
              "https://doi.org/10.1007/978-3-642-30729-4_23"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-00899-3_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025147348", 
              "https://doi.org/10.1007/978-3-642-00899-3_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-00899-3_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025147348", 
              "https://doi.org/10.1007/978-3-642-00899-3_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-38709-8_28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030380776", 
              "https://doi.org/10.1007/978-3-642-38709-8_28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0019-9958(58)90082-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030412673"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-40176-3_26", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036020418", 
              "https://doi.org/10.1007/978-3-642-40176-3_26"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2629447", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036104124"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0019-9958(66)90211-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052396000"
            ], 
            "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/10.1109/tse.2010.96", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061788857"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015", 
        "datePublishedReg": "2015-01-01", 
        "description": "Declarative process models define the behaviour of business processes as a set of constraints. Declarative process discovery aims at inferring such constraints from event logs. Existing discovery techniques verify the satisfaction of candidate constraints over the log, but completely neglect their interactions. As a result, the inferred constraints can be mutually contradicting and their interplay may lead to an inconsistent process model that does not accept any trace. In such a case, the output turns out to be unusable for enactment, simulation or verification purposes. In addition, the discovered model contains, in general, redundancies that are due to complex interactions of several constraints and that cannot be solved using existing pruning approaches. We address these problems by proposing a technique that automatically resolves conflicts within the discovered models and is more powerful than existing pruning techniques to eliminate redundancies. First, we formally define the problems of constraint redundancy and conflict resolution. Thereafter, we introduce techniques based on the notion of an automata-product monoid that guarantee the consistency of the discovered models and, at the same time, keep the most interesting constraints in the pruned set. We evaluate the devised techniques on real-world benchmarks.", 
        "editor": [
          {
            "familyName": "Motahari-Nezhad", 
            "givenName": "Hamid Reza", 
            "type": "Person"
          }, 
          {
            "familyName": "Recker", 
            "givenName": "Jan", 
            "type": "Person"
          }, 
          {
            "familyName": "Weidlich", 
            "givenName": "Matthias", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-319-23063-4_9", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3791239", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": {
          "isbn": [
            "978-3-319-23062-7", 
            "978-3-319-23063-4"
          ], 
          "name": "Business Process Management", 
          "type": "Book"
        }, 
        "name": "Ensuring Model Consistency in Declarative Process Discovery", 
        "pagination": "144-159", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-319-23063-4_9"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "d6d3fbccf7a829a7101c3fb9b2b63d7f5b8ca112bdf767abb9ad86d4df06dd9b"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1045100521"
            ]
          }
        ], 
        "publisher": {
          "location": "Cham", 
          "name": "Springer International Publishing", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-319-23063-4_9", 
          "https://app.dimensions.ai/details/publication/pub.1045100521"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T11:37", 
        "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_8660_00000271.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-319-23063-4_9"
      }
    ]
     

    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.10.1007/978-3-319-23063-4_9'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-23063-4_9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-23063-4_9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-23063-4_9'


     

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

    157 TRIPLES      23 PREDICATES      42 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-319-23063-4_9 schema:about anzsrc-for:08
    2 anzsrc-for:0802
    3 schema:author Ncc17d70eb41e4c36bbf8d388ca990f8f
    4 schema:citation sg:pub.10.1007/978-3-540-75183-0_25
    5 sg:pub.10.1007/978-3-642-00899-3_16
    6 sg:pub.10.1007/978-3-642-15280-1_28
    7 sg:pub.10.1007/978-3-642-30729-4_23
    8 sg:pub.10.1007/978-3-642-31095-9_18
    9 sg:pub.10.1007/978-3-642-38709-8_28
    10 sg:pub.10.1007/978-3-642-40176-3_26
    11 sg:pub.10.1007/s10618-007-0065-y
    12 https://doi.org/10.1016/j.is.2011.04.002
    13 https://doi.org/10.1016/s0004-3702(03)00117-6
    14 https://doi.org/10.1016/s0019-9958(58)90082-2
    15 https://doi.org/10.1016/s0019-9958(66)90211-7
    16 https://doi.org/10.1109/tkde.2004.47
    17 https://doi.org/10.1109/tse.2010.96
    18 https://doi.org/10.1145/2629447
    19 schema:datePublished 2015
    20 schema:datePublishedReg 2015-01-01
    21 schema:description Declarative process models define the behaviour of business processes as a set of constraints. Declarative process discovery aims at inferring such constraints from event logs. Existing discovery techniques verify the satisfaction of candidate constraints over the log, but completely neglect their interactions. As a result, the inferred constraints can be mutually contradicting and their interplay may lead to an inconsistent process model that does not accept any trace. In such a case, the output turns out to be unusable for enactment, simulation or verification purposes. In addition, the discovered model contains, in general, redundancies that are due to complex interactions of several constraints and that cannot be solved using existing pruning approaches. We address these problems by proposing a technique that automatically resolves conflicts within the discovered models and is more powerful than existing pruning techniques to eliminate redundancies. First, we formally define the problems of constraint redundancy and conflict resolution. Thereafter, we introduce techniques based on the notion of an automata-product monoid that guarantee the consistency of the discovered models and, at the same time, keep the most interesting constraints in the pruned set. We evaluate the devised techniques on real-world benchmarks.
    22 schema:editor Nda0b1e7b85864aafa37e52fa1c09dcb3
    23 schema:genre chapter
    24 schema:inLanguage en
    25 schema:isAccessibleForFree false
    26 schema:isPartOf N9ffb8792671349b69811fcad20ffebf8
    27 schema:name Ensuring Model Consistency in Declarative Process Discovery
    28 schema:pagination 144-159
    29 schema:productId N561b9f2e358a41c4aca66a42b01e53fc
    30 N7c0d830630c345d486cd74220da4d8db
    31 N89eeb35078684a508cbdb5b90ce40fd9
    32 schema:publisher Nbd2ba2b5baec4253840e112f5b003868
    33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045100521
    34 https://doi.org/10.1007/978-3-319-23063-4_9
    35 schema:sdDatePublished 2019-04-15T11:37
    36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    37 schema:sdPublisher N939bacec2fb249689f9c03a177736047
    38 schema:url http://link.springer.com/10.1007/978-3-319-23063-4_9
    39 sgo:license sg:explorer/license/
    40 sgo:sdDataset chapters
    41 rdf:type schema:Chapter
    42 N04df7cad70e74204842bb6b93d7bc45d rdf:first sg:person.016060535047.44
    43 rdf:rest rdf:nil
    44 N057c4e8e7f65489db70c381c5ac60e48 rdf:first sg:person.012257615141.02
    45 rdf:rest N04df7cad70e74204842bb6b93d7bc45d
    46 N122290b5c1d84b9f85d06816d61050a6 rdf:first N3d46aa44d3674156ad4ba6e7a4525569
    47 rdf:rest Nae25637543ea49bf886109a9a28d6485
    48 N3d46aa44d3674156ad4ba6e7a4525569 schema:familyName Recker
    49 schema:givenName Jan
    50 rdf:type schema:Person
    51 N561b9f2e358a41c4aca66a42b01e53fc schema:name dimensions_id
    52 schema:value pub.1045100521
    53 rdf:type schema:PropertyValue
    54 N6c5f7407803047ad8bac0d94c8cda4b7 schema:familyName Motahari-Nezhad
    55 schema:givenName Hamid Reza
    56 rdf:type schema:Person
    57 N7c0d830630c345d486cd74220da4d8db schema:name readcube_id
    58 schema:value d6d3fbccf7a829a7101c3fb9b2b63d7f5b8ca112bdf767abb9ad86d4df06dd9b
    59 rdf:type schema:PropertyValue
    60 N89eeb35078684a508cbdb5b90ce40fd9 schema:name doi
    61 schema:value 10.1007/978-3-319-23063-4_9
    62 rdf:type schema:PropertyValue
    63 N939bacec2fb249689f9c03a177736047 schema:name Springer Nature - SN SciGraph project
    64 rdf:type schema:Organization
    65 N9ffb8792671349b69811fcad20ffebf8 schema:isbn 978-3-319-23062-7
    66 978-3-319-23063-4
    67 schema:name Business Process Management
    68 rdf:type schema:Book
    69 Nae25637543ea49bf886109a9a28d6485 rdf:first Nce4bb679addf4c33b4164a05db9f6d94
    70 rdf:rest rdf:nil
    71 Nbd2ba2b5baec4253840e112f5b003868 schema:location Cham
    72 schema:name Springer International Publishing
    73 rdf:type schema:Organisation
    74 Ncc17d70eb41e4c36bbf8d388ca990f8f rdf:first sg:person.016473360606.42
    75 rdf:rest Nd8e5e29db5774778841a3f73b2f7ef6b
    76 Nce4bb679addf4c33b4164a05db9f6d94 schema:familyName Weidlich
    77 schema:givenName Matthias
    78 rdf:type schema:Person
    79 Nd8e5e29db5774778841a3f73b2f7ef6b rdf:first sg:person.013145177327.48
    80 rdf:rest N057c4e8e7f65489db70c381c5ac60e48
    81 Nda0b1e7b85864aafa37e52fa1c09dcb3 rdf:first N6c5f7407803047ad8bac0d94c8cda4b7
    82 rdf:rest N122290b5c1d84b9f85d06816d61050a6
    83 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    84 schema:name Information and Computing Sciences
    85 rdf:type schema:DefinedTerm
    86 anzsrc-for:0802 schema:inDefinedTermSet anzsrc-for:
    87 schema:name Computation Theory and Mathematics
    88 rdf:type schema:DefinedTerm
    89 sg:grant.3791239 http://pending.schema.org/fundedItem sg:pub.10.1007/978-3-319-23063-4_9
    90 rdf:type schema:MonetaryGrant
    91 sg:person.012257615141.02 schema:affiliation https://www.grid.ac/institutes/grid.34988.3e
    92 schema:familyName Montali
    93 schema:givenName Marco
    94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012257615141.02
    95 rdf:type schema:Person
    96 sg:person.013145177327.48 schema:affiliation https://www.grid.ac/institutes/grid.10939.32
    97 schema:familyName Maggi
    98 schema:givenName Fabrizio Maria
    99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013145177327.48
    100 rdf:type schema:Person
    101 sg:person.016060535047.44 schema:affiliation https://www.grid.ac/institutes/grid.15788.33
    102 schema:familyName Mendling
    103 schema:givenName Jan
    104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016060535047.44
    105 rdf:type schema:Person
    106 sg:person.016473360606.42 schema:affiliation https://www.grid.ac/institutes/grid.15788.33
    107 schema:familyName Di Ciccio
    108 schema:givenName Claudio
    109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016473360606.42
    110 rdf:type schema:Person
    111 sg:pub.10.1007/978-3-540-75183-0_25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018376055
    112 https://doi.org/10.1007/978-3-540-75183-0_25
    113 rdf:type schema:CreativeWork
    114 sg:pub.10.1007/978-3-642-00899-3_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025147348
    115 https://doi.org/10.1007/978-3-642-00899-3_16
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1007/978-3-642-15280-1_28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008926465
    118 https://doi.org/10.1007/978-3-642-15280-1_28
    119 rdf:type schema:CreativeWork
    120 sg:pub.10.1007/978-3-642-30729-4_23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023352691
    121 https://doi.org/10.1007/978-3-642-30729-4_23
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1007/978-3-642-31095-9_18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011418389
    124 https://doi.org/10.1007/978-3-642-31095-9_18
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/978-3-642-38709-8_28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030380776
    127 https://doi.org/10.1007/978-3-642-38709-8_28
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/978-3-642-40176-3_26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036020418
    130 https://doi.org/10.1007/978-3-642-40176-3_26
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/s10618-007-0065-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1012480132
    133 https://doi.org/10.1007/s10618-007-0065-y
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1016/j.is.2011.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005653123
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1016/s0004-3702(03)00117-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005787718
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1016/s0019-9958(58)90082-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030412673
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1016/s0019-9958(66)90211-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052396000
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1109/tkde.2004.47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061661321
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1109/tse.2010.96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061788857
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1145/2629447 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036104124
    148 rdf:type schema:CreativeWork
    149 https://www.grid.ac/institutes/grid.10939.32 schema:alternateName University of Tartu
    150 schema:name University of Tartu
    151 rdf:type schema:Organization
    152 https://www.grid.ac/institutes/grid.15788.33 schema:alternateName Vienna University of Economics and Business
    153 schema:name Vienna University of Economics and Business
    154 rdf:type schema:Organization
    155 https://www.grid.ac/institutes/grid.34988.3e schema:alternateName Free University of Bozen-Bolzano
    156 schema:name Free University of Bozen-Bolzano
    157 rdf:type schema:Organization
     




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


    ...