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000779288 020__ $$a9783319534350$$q(electronic book)
000779288 020__ $$a3319534351$$q(electronic book)
000779288 020__ $$z9783319534343
000779288 035__ $$aSP(OCoLC)ocn971244762
000779288 035__ $$aSP(OCoLC)971244762
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000779288 050_4 $$aQA76.9.D343
000779288 08204 $$a006.3/12$$223
000779288 1112_ $$aSIMPDA (Symposium)$$n(5th :$$d2015 :$$cVienna, Austria)
000779288 24510 $$aData-driven process discovery and analysis :$$b5th International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised selected papers /$$cPaolo Ceravolo, Stefanie Rinderle-Ma (eds.).
000779288 2463_ $$aSIMPDA 2015
000779288 264_1 $$aCham :$$bSpringer,$$c2017.
000779288 300__ $$a1 online resource (ix, 185 pages) :$$billustrations.
000779288 336__ $$atext$$btxt$$2rdacontent
000779288 337__ $$acomputer$$bc$$2rdamedia
000779288 338__ $$aonline resource$$bcr$$2rdacarrier
000779288 4901_ $$aLecture notes in business information processing,$$x1865-1348 ;$$v244
000779288 500__ $$aIncludes author index.
000779288 5050_ $$aA Framework for Safety-critical Process Management in Engineering Projects -- Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education -- Detecting Changes in Process Behavior Using Comparative Case Clustering -- -- Using Domain Knowledge to Enhance Process Mining Results -- -- Aligning Process Model Terminology with Hypernym Relations -- Time Series Petri Net Models: Enrichment and Prediction -- Visual Analytics Meets Process Mining: Challenges and Opportunities -- A Relational Data Warehouse for Multidimensional Process Mining. .
000779288 506__ $$aAccess limited to authorized users.
000779288 520__ $$aThis book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies. .
000779288 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 3, 2017).
000779288 650_0 $$aData mining$$vCongresses.
000779288 650_0 $$aManagement information systems$$vCongresses.
000779288 650_0 $$aBusiness$$xData processing$$vCongresses.
000779288 7001_ $$aCeravolo, Paolo,$$eeditor.
000779288 7001_ $$aRinderle-Ma, Stefanie,$$eeditor.
000779288 830_0 $$aLecture notes in business information processing ;$$v244.
000779288 852__ $$bebk
000779288 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-53435-0$$zOnline Access$$91397441.1
000779288 909CO $$ooai:library.usi.edu:779288$$pGLOBAL_SET
000779288 980__ $$aEBOOK
000779288 980__ $$aBIB
000779288 982__ $$aEbook
000779288 983__ $$aOnline
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