四溢
发表于 2025-3-23 09:53:31
Media Convergence and Deconvergenceries often scan huge volumes of data and are computationally complex. For this reason, an acceptable (or good) DW performance is one of the important features that must be guaranteed for DW users. Good DW performance can be achieved in multiple components of a DW architecture, starting from hardware
instulate
发表于 2025-3-23 14:30:46
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龙虾
发表于 2025-3-23 20:35:49
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无目标
发表于 2025-3-24 01:01:50
Prospects for Media Convergence, as the technology and society evolve, faster and better informed decisions are required. Nowadays, it is not enough to use only the information from the own organization and making isolated decisions, but rather requiring also to include information present in the web like opinions or information a
泛滥
发表于 2025-3-24 02:21:32
https://doi.org/10.1007/978-981-33-4149-4ng graphs and social networks. In particular, community detection methods can bring very valuable informations about the structure of an existing social network in the Business Intelligence framework. In this chapter we give a large view, firstly of what could be a community in a social network, and
negotiable
发表于 2025-3-24 07:41:20
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Aerate
发表于 2025-3-24 11:17:49
https://doi.org/10.1007/978-981-33-4149-4he number of CPUs, allowed connections, etc. This also holds for Business Intelligence environments. Nevertheless, technologies have evolved and today other approaches are possible. Specifically, the service paradigm allows to outsource hardware as well as software in a pay-as-you-go model. In this
cuticle
发表于 2025-3-24 17:21:37
Media Corporate Entrepreneurshipcompanies and organizations. Unfortunately, traditional BI applications are aimed at serving individual companies, and they cannot operate over networks of companies characterized by an organizational, lexical, and semantic heterogeneity. In such distributed business scenarios, to maximize the effec
巨头
发表于 2025-3-24 20:02:35
Business Intelligence978-3-642-27358-2Series ISSN 1865-1348 Series E-ISSN 1865-1356
消极词汇
发表于 2025-3-24 23:10:24
https://doi.org/10.1007/978-3-642-27358-2Business Intelligence; Data Warehouses; OLAP - Online Analytical Processing