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Record Nr. |
UNINA9910299253803321 |
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Titolo |
Data-Driven Process Discovery and Analysis [[electronic resource] ] : Third IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2013, Riva del Garda, Italy, August 30, 2013, Revised Selected Papers / / edited by Paolo Ceravolo, Rafael Accorsi, Philippe Cudre-Mauroux |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (IX, 135 p. 56 illus.) |
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Collana |
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Lecture Notes in Business Information Processing, , 1865-1348 ; ; 203 |
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Disciplina |
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Soggetti |
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Data mining |
Management information systems |
Industrial management |
Application software |
Data Mining and Knowledge Discovery |
Business Process Management |
Information Systems Applications (incl. Internet) |
Computer Appl. in Administrative Data Processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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The Effect of Noise on Mined Declarative Constraints -- Towards Collecting Sustainability Data in Supply Chains with Flexible Data Collection Processes -- Handling Environment for Publicly Posted Composite Documents -- Enabling Non-expert Users to Apply Data Mining for Bridging the Big Data Divide -- Combining Semantic Lifting and Ad-hoc Contextual Analysis in a Data Loss Scenario -- Comparative Process Mining in Education: An Approach Based on Process Cubes. |
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Sommario/riassunto |
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This book constitutes the thoroughly refereed proceedings of the Third International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Garda, Italy, in August 2013. The six revised full papers were carefully selected from 18 submissions. Following the event, authors were given the opportunity to improve their papers with |
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the insights they gained from the symposium. The selected papers cover theoretical issues related to process representation, discovery and analysis or provide practical and operational experiences in process discovery and analysis. |
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