LEADER 04612nam 22007815 450 001 9910299057803321 005 20230810183553.0 010 $a3-319-05461-9 024 7 $a10.1007/978-3-319-05461-2 035 $a(CKB)3710000000095017 035 $a(DE-He213)978-3-319-05461-2 035 $a(SSID)ssj0001186515 035 $a(PQKBManifestationID)11674060 035 $a(PQKBTitleCode)TC0001186515 035 $a(PQKBWorkID)11219046 035 $a(PQKB)11529839 035 $a(MiAaPQ)EBC3096826 035 $a(MiAaPQ)EBC7203255 035 $a(Au-PeEL)EBL7203255 035 $a(PPN)177825782 035 $a(EXLCZ)993710000000095017 100 $a20140320d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBusiness Intelligence $eThird European Summer School, eBISS 2013, Dagstuhl Castle, Germany, July 7-12, 2013, Tutorial Lectures /$fedited by Esteban Zimányi 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (IX, 243 p. 95 illus.) 225 1 $aLecture Notes in Business Information Processing,$x1865-1356 ;$v172 300 $aIncludes index. 311 $a3-319-05460-0 327 $aIntroduction to Pattern Mining -- Process Mining in the Large: A Tutorial -- Ontology-Driven Business Intelligence for Comparative Data Analysis -- Open Access Semantic Aware Business Intelligence -- Transparent Forecasting Strategies in Database Management Systems -- On Index Structures for Star Query Processing in Data Warehouses -- Intelligent Wizard for Human Language Interaction in Business Intelligence. 330 $aTo large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels. BI is now impacted by the ?Big Data? phenomena and the evolution of society and users. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors?, suppliers?, or distributors? data, governmental or NGO-based analysis and papers, or from research publications. In addition, they must be able to provide their results also on mobile devices, taking into account location-based or time-based environmental data. The lectures held at the Third European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI and BPM technologies, but extend into innovative aspects that are important in this new environment and for novel applications, e.g., pattern and process mining, business semantics, Linked Open Data, and large-scale data management and analysis. Combining papers by leading researchers in the field, this volume equips the reader with the state-of-the-art background necessary for creating the future of BI. It also provides the reader with an excellent basis and many pointers for further research in this growing field. 410 0$aLecture Notes in Business Information Processing,$x1865-1356 ;$v172 606 $aBusiness information services 606 $aData mining 606 $aInformation storage and retrieval systems 606 $aInformation technology$xManagement 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aIT in Business 606 $aData Mining and Knowledge Discovery 606 $aInformation Storage and Retrieval 606 $aComputer Application in Administrative Data Processing 606 $aProbability and Statistics in Computer Science 615 0$aBusiness information services. 615 0$aData mining. 615 0$aInformation storage and retrieval systems. 615 0$aInformation technology$xManagement. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 14$aIT in Business. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aComputer Application in Administrative Data Processing. 615 24$aProbability and Statistics in Computer Science. 676 $a658.4038011 702 $aZima?nyi$b Esteban 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299057803321 996 $aBusiness intelligence$91131319 997 $aUNINA