Business Intelligence : First European Summer School, eBISS 2011, Paris, France, July 3-8, 2011, Tutorial Lectures. 1st ed. 2012

種類:

電子ブック

責任表示:

edited by Marie-Aude Aufaure, Esteban Zimányi

出版情報:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012

著者名:

• Aufaure, Marie-Aude.
• Zimányi, Esteban.
• SpringerLink (Online service)

シリーズ名:

Lecture Notes in Business Information Processing ; 96

ISBN:

9783642273582 [3642273580]    

注記:

Data 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.
Business 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,

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