000 03181nam a22005655i 4500
001 978-3-319-27243-6
003 DE-He213
005 20200421112041.0
007 cr nn 008mamaa
008 151211s2015 gw | s |||| 0|eng d
020 _a9783319272436
_9978-3-319-27243-6
024 7 _a10.1007/978-3-319-27243-6
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
245 1 0 _aData-Driven Process Discovery and Analysis
_h[electronic resource] :
_b4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers /
_cedited by Paolo Ceravolo, Barbara Russo, Rafael Accorsi.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aIX, 123 p. 56 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Business Information Processing,
_x1865-1348 ;
_v237
505 0 _aDiscovery of Frequent Episodes in Event Logs -- Finding Suitable Activity Clusters for Decomposed Process Discovery -- History-based Construction of Alignments for Conformance Checking: Formalization and Implementation? -- Dynamic Constructs Competition Miner - Occurrence vs. Time-based Ageing -- Trustworthy Cloud Certification: A Model-Based Approach.
520 _aThis book constitutes the thoroughly refereed proceedings of the Fourth International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Milan, Italy, in November 2014. The five revised full papers were carefully selected from 21 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. During this edition, the presentations and discussions frequently focused on the implementation of process mining algorithms in contexts where the analytical process is fed by data streams. The selected papers underline the most relevant challenges identified and propose novel solutions and approaches for their solution.
650 0 _aComputer science.
650 0 _aManagement information systems.
650 0 _aIndustrial management.
650 0 _aData mining.
650 0 _aApplication software.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aBusiness Process Management.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aComputer Appl. in Administrative Data Processing.
700 1 _aCeravolo, Paolo.
_eeditor.
700 1 _aRusso, Barbara.
_eeditor.
700 1 _aAccorsi, Rafael.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319272429
830 0 _aLecture Notes in Business Information Processing,
_x1865-1348 ;
_v237
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-27243-6
912 _aZDB-2-SCS
942 _cEBK
999 _c56651
_d56651