LEADER 05331nam 22008655 450 001 9910739479903321 005 20230810210845.0 010 $a3-642-36318-0 024 7 $a10.1007/978-3-642-36318-4 035 $a(CKB)3520000000003528 035 $a(SSID)ssj0000878565 035 $a(PQKBManifestationID)11545942 035 $a(PQKBTitleCode)TC0000878565 035 $a(PQKBWorkID)10836380 035 $a(PQKB)10928555 035 $a(DE-He213)978-3-642-36318-4 035 $a(MiAaPQ)EBC3096782 035 $a(MiAaPQ)EBC7199989 035 $a(Au-PeEL)EBL7199989 035 $a(PPN)168330008 035 $a(EXLCZ)993520000000003528 100 $a20130125d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aBusiness Intelligence $eSecond European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures /$fedited by Marie-Aude Aufaure, Esteban Zimányi 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (X, 235 p. 83 illus.) 225 1 $aLecture Notes in Business Information Processing,$x1865-1356 ;$v138 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-36317-2 320 $aIncludes bibliographical references and index. 327 $aManaging Complex Multidimensional Data -- An Introduction to Business Process Modeling -- Machine Learning Strategies for Time Series Forecasting -- Knowledge Discovery from Constrained Relational Data: A Tutorial on Markov Logic Networks -- Large Graph Mining: Recent Developments, Challenges and Potential Solutions -- Big Data Analytics on Modern Hardware Architectures: A Technology Survey -- An Introduction to Multicriteria Decision Aid: The PROMETHEE and GAIA Methods -- Knowledge Harvesting for Business Intelligence -- Business Semantics as an Interface between Enterprise Information Management and the Web of Data: A Case Study in the Flemish Public Administration. 330 $aTo large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels. BI is now impacted by the ?Big Data? phenomena and the evolution of society and users. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors?, suppliers?, or distributors? data, governmental or NGO-based analysis and papers, or from research publications. In addition, they must be able to provide their results also on mobile devices, taking into account location-based or time-based environmental data. The lectures held at the Second European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI and BPM technologies, but extend into innovative aspects that are important in this new environment and for novel applications, e.g., machine learning, logic networks, graph mining, business semantics, large-scale data management and analysis, and multicriteria and collaborative decision making. Combining papers by leading researchers in the field, this volume equips the reader with the state-of-the-art background necessary for creating the future of BI. It also provides the reader with an excellent basis and many pointers for further research in this growing field. 410 0$aLecture Notes in Business Information Processing,$x1865-1356 ;$v138 606 $aBusiness information services 606 $aInformation technology$xManagement 606 $aDatabase management 606 $aInformation storage and retrieval systems 606 $aComputer science$xMathematics 606 $aDiscrete mathematics 606 $aMathematical statistics 606 $aIT in Business 606 $aComputer Application in Administrative Data Processing 606 $aDatabase Management 606 $aInformation Storage and Retrieval 606 $aDiscrete Mathematics in Computer Science 606 $aProbability and Statistics in Computer Science 615 0$aBusiness information services. 615 0$aInformation technology$xManagement. 615 0$aDatabase management. 615 0$aInformation storage and retrieval systems. 615 0$aComputer science$xMathematics. 615 0$aDiscrete mathematics. 615 0$aMathematical statistics. 615 14$aIT in Business. 615 24$aComputer Application in Administrative Data Processing. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aProbability and Statistics in Computer Science. 676 $a650 676 $a658.05 702 $aAufaure$b Marie-Aude$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZimányi$b Esteban$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739479903321 996 $aBusiness intelligence$91131319 997 $aUNINA