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Titlebook: Business Intelligence; 5th European Summer Esteban Zimányi,Alberto Abelló Conference proceedings 2016 Springer Nature Switzerland AG 2016

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發(fā)表于 2025-3-21 17:32:34 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Business Intelligence
期刊簡(jiǎn)稱5th European Summer
影響因子2023Esteban Zimányi,Alberto Abelló
視頻videohttp://file.papertrans.cn/193/192210/192210.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Business Information Processing
圖書(shū)封面Titlebook: Business Intelligence; 5th European Summer  Esteban Zimányi,Alberto Abelló Conference proceedings 2016 Springer Nature Switzerland AG 2016
影響因子.This book constitutes the tutorial lectures of the?5th European Business Intelligence Summer School, eBISS 2015, held in?Barcelona, Spain, in July 2015.. .The tutorials presented here in an extended and refined format were given by renowned experts and cover topics including?schema evolution for databases and data warehouses,?publishing OLAP cubes on the Semantic Web, design issues in social business intelligence projects,?context-aware business intelligence, and?key performance indicators in data warehouses..
Pindex Conference proceedings 2016
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書(shū)目名稱Business Intelligence影響因子(影響力)




書(shū)目名稱Business Intelligence影響因子(影響力)學(xué)科排名




書(shū)目名稱Business Intelligence網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Business Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Business Intelligence被引頻次




書(shū)目名稱Business Intelligence被引頻次學(xué)科排名




書(shū)目名稱Business Intelligence年度引用




書(shū)目名稱Business Intelligence年度引用學(xué)科排名




書(shū)目名稱Business Intelligence讀者反饋




書(shū)目名稱Business Intelligence讀者反饋學(xué)科排名




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Design Issues in Social Business Intelligence Projects,
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地板
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https://doi.org/10.1007/978-3-319-39243-1Big Data; Business Intelligence; Business Process Management; Linked Open Data; Schema Evolution; RDF – R
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978-3-319-39242-4Springer Nature Switzerland AG 2016
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Media Discourse of Commemoration of a database affects the syntactic correctness and the semantic validity of all the surrounding applications and de facto necessitates their maintenance in order to remove errors from their source code. This survey provides a walk-through on different approaches to the problem of handling database
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John Langer,Nuntiya Doungphummespproach to map informal specifications of key performance indicators to prototypical data warehouse designs that support the calculation of the KPIs via aggregate queries. We argue that the derivation of the key performance indicators shall start from a process definition that includes scheduling an
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發(fā)表于 2025-3-23 08:07:59 | 只看該作者
Esteban Zimányi,Alberto AbellóIncludes supplementary material:
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