| 期刊全稱 | Business Intelligence | | 期刊簡稱 | Second European Summ | | 影響因子2023 | Marie-Aude Aufaure,Esteban Zimányi | | 視頻video | http://file.papertrans.cn/193/192204/192204.mp4 | | 發(fā)行地址 | Concise and comprehensive introduction to business intelligence (BI).Combines traditional BI technologies with new topics such as business semantics, Big Data analysis, and multicriteria decision maki | | 學(xué)科分類 | Lecture Notes in Business Information Processing | | 圖書封面 |  | | 影響因子 | .To 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 | | Pindex | Textbook 2013 |
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