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001 978-3-642-27358-2
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008 120110s2012 gw | s |||| 0|eng d
020 _a9783642273582
_9978-3-642-27358-2
024 7 _a10.1007/978-3-642-27358-2
_2doi
050 4 _aHF54.5-54.56
072 7 _aKJQ
_2bicssc
072 7 _aUF
_2bicssc
072 7 _aBUS083000
_2bisacsh
072 7 _aCOM039000
_2bisacsh
082 0 4 _a650
_223
100 1 _aAufaure, Marie-Aude.
_eeditor.
245 1 0 _aBusiness Intelligence
_h[electronic resource] :
_bFirst European Summer School, eBISS 2011, Paris, France, July 3-8, 2011, Tutorial Lectures /
_cedited by Marie-Aude Aufaure, Esteban Zimányi.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aIX, 207p. 44 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Business Information Processing,
_x1865-1348 ;
_v96
505 0 _aData Warehouses: Next Challenges -- Data Warehouse Performance: Selected Techniques and Data Structures -- OLAP Query Personalisation and Recommendation: An Introduction -- The GoOLAP Fact Retrieval Framework -- Business Intelligence 2.0: A General Overview -- Graph Mining and Communities Detection -- Semantic Technologies and Triplestores for Business Intelligence -- Service-Oriented Business Intelligence -- Collaborative Business Intelligence.
520 _aBusiness Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena and the evolution of society and users, and needs to take into account high-level semantics, reasoning about unstructured and structured data, and to provide a simplified access and better understanding of diverse BI tools accessible trough mobile devices. 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. The lectures held at the First European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI technologies like data warehouses, OLAP query processing, or performance issues, but extend into new aspects that are important in this new environment and for novel applications, e.g., semantic technologies, social network analysis and graphs, services, large-scale management, or collaborative decision making. Combining papers by leading researchers in the field, this volume will equip the reader with the state-of-the-art background necessary for inventing the future of BI. It will also provide the reader with an excellent basis and many pointers for further research in this growing field.
650 0 _aEconomics.
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval systems.
650 0 _aInformation systems.
650 0 _aManagement information systems.
650 1 4 _aEconomics/Management Science.
650 2 4 _aBusiness Information Systems.
650 2 4 _aComputer Appl. in Administrative Data Processing.
650 2 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
700 1 _aZimányi, Esteban.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642273575
830 0 _aLecture Notes in Business Information Processing,
_x1865-1348 ;
_v96
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-27358-2
912 _aZDB-2-SBE
999 _c102570
_d102570