LEADER 05665nam 22007815 450 001 9910254996103321 005 20200705130521.0 010 $a3-319-25037-X 024 7 $a10.1007/978-3-319-25037-3 035 $a(CKB)3710000000627445 035 $a(EBL)4460086 035 $a(SSID)ssj0001654143 035 $a(PQKBManifestationID)16433008 035 $a(PQKBTitleCode)TC0001654143 035 $a(PQKBWorkID)14982825 035 $a(PQKB)11350672 035 $a(DE-He213)978-3-319-25037-3 035 $a(MiAaPQ)EBC4460086 035 $a(PPN)192773933 035 $a(EXLCZ)993710000000627445 100 $a20160328d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProcess Analytics $eConcepts and Techniques for Querying and Analyzing Process Data /$fby Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (194 p.) 300 $aDescription based upon print version of record. 311 $a3-319-25036-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $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. . 330 $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. 606 $aApplication software 606 $aManagement information systems 606 $aIndustrial management 606 $aData mining 606 $aDatabase management 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aBusiness Process Management$3https://scigraph.springernature.com/ontologies/product-market-codes/522020 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 615 0$aApplication software. 615 0$aManagement information systems. 615 0$aIndustrial management. 615 0$aData mining. 615 0$aDatabase management. 615 14$aInformation Systems Applications (incl. Internet). 615 24$aBusiness Process Management. 615 24$aComputer Appl. in Administrative Data Processing. 615 24$aData Mining and Knowledge Discovery. 615 24$aDatabase Management. 676 $a004 700 $aBeheshti$b Seyed-Mehdi-Reza$4aut$4http://id.loc.gov/vocabulary/relators/aut$0934412 702 $aBenatallah$b Boualem$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSakr$b Sherif$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aGrigori$b Daniela$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMotahari-Nezhad$b Hamid Reza$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aBarukh$b Moshe Chai$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aGater$b Ahmed$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRyu$b Seung Hwan$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910254996103321 996 $aProcess Analytics$92104175 997 $aUNINA