| 期刊全稱 | Business Intelligence | | 期刊簡稱 | First European Summe | | 影響因子2023 | Marie-Aude Aufaure,Esteban Zimányi | | 視頻video | http://file.papertrans.cn/193/192208/192208.mp4 | | 發(fā)行地址 | First concise and comprehensive introduction to business intelligence (BI).Combines traditional BI technologies with new topics like semantic databases, social network analysis, and cloud computing.Co | | 學(xué)科分類 | Lecture Notes in Business Information Processing | | 圖書封面 |  | | 影響因子 | .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, 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 | | Pindex | Textbook 2012 |
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