000 04458nam a22006135i 4500
001 978-3-319-25037-3
003 DE-He213
005 20200421111658.0
007 cr nn 008mamaa
008 160328s2016 gw | s |||| 0|eng d
020 _a9783319250373
_9978-3-319-25037-3
024 7 _a10.1007/978-3-319-25037-3
_2doi
050 4 _aQA76.76.A65
072 7 _aUNH
_2bicssc
072 7 _aUDBD
_2bicssc
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
100 1 _aBeheshti, Seyed-Mehdi-Reza.
_eauthor.
245 1 0 _aProcess Analytics
_h[electronic resource] :
_bConcepts and Techniques for Querying and Analyzing Process Data /
_cby Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXVI, 178 p. 30 illus., 6 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Business Process Paradigms -- Process matching techniques -- Model-based Business Process Query techniques and languages -- Business Process Data Analysis -- Tools, Use Cases and Discussions -- References. .
520 _aThis book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics - including process data querying, analysis, matching and correlating process data and models - to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios.
650 0 _aComputer science.
650 0 _aManagement information systems.
650 0 _aIndustrial management.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aApplication software.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aBusiness Process Management.
650 2 4 _aComputer Appl. in Administrative Data Processing.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aDatabase Management.
700 1 _aBenatallah, Boualem.
_eauthor.
700 1 _aSakr, Sherif.
_eauthor.
700 1 _aGrigori, Daniela.
_eauthor.
700 1 _aMotahari-Nezhad, Hamid Reza.
_eauthor.
700 1 _aBarukh, Moshe Chai.
_eauthor.
700 1 _aGater, Ahmed.
_eauthor.
700 1 _aRyu, Seung Hwan.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319250366
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-25037-3
912 _aZDB-2-SCS
942 _cEBK
999 _c54810
_d54810