LEADER 05499nam 22007695 450 001 9910299241503321 005 20200630141732.0 010 $a3-662-46531-0 024 7 $a10.1007/978-3-662-46531-8 035 $a(CKB)3710000000436988 035 $a(SSID)ssj0001547025 035 $a(PQKBManifestationID)16141381 035 $a(PQKBTitleCode)TC0001547025 035 $a(PQKBWorkID)14795885 035 $a(PQKB)11131280 035 $a(DE-He213)978-3-662-46531-8 035 $a(MiAaPQ)EBC6311196 035 $a(MiAaPQ)EBC5584754 035 $a(Au-PeEL)EBL5584754 035 $a(OCoLC)910964163 035 $a(PPN)186400586 035 $a(EXLCZ)993710000000436988 100 $a20150602d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aFundamentals of Business Intelligence$b[electronic resource] /$fby Wilfried Grossmann, Stefanie Rinderle-Ma 205 $a1st ed. 2015. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2015. 215 $a1 online resource (XVIII, 348 p. 116 illus., 81 illus. in color.) 225 1 $aData-Centric Systems and Applications,$x2197-9723 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-46530-2 320 $aIncludes bibliographical references and index. 327 $a1 Introduction -- 2 Modeling in Business Intelligence -- 3 Data Provisioning -- 4 Data Description and Visualization -- 5 Data Mining for Cross-Sectional Data -- 6 Data Mining for Temporal Data -- 7 Process Analysis -- 8 Analysis of Multiple Business Perspectives -- 9 Summary -- A Survey on Business Intelligence Tools. 330 $aThis book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques, and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described, and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples. 410 0$aData-Centric Systems and Applications,$x2197-9723 606 $aData mining 606 $aManagement information systems 606 $aApplication software 606 $aIndustrial management 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aBusiness Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/522030 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aBusiness Process Management$3https://scigraph.springernature.com/ontologies/product-market-codes/522020 615 0$aData mining. 615 0$aManagement information systems. 615 0$aApplication software. 615 0$aIndustrial management. 615 14$aData Mining and Knowledge Discovery. 615 24$aBusiness Information Systems. 615 24$aComputer Appl. in Administrative Data Processing. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aBusiness Process Management. 676 $a658.472 700 $aGrossmann$b Wilfried$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060877 702 $aRinderle-Ma$b Stefanie$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299241503321 996 $aFundamentals of Business Intelligence$92516013 997 $aUNINA