作者: 財主 時間: 2025-3-21 22:33
Data Warehouse Performance: Selected Techniques and Data Structures,ries 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作者: Obverse 時間: 2025-3-22 00:49 作者: collateral 時間: 2025-3-22 06:19 作者: dyspareunia 時間: 2025-3-22 12:09 作者: Rct393 時間: 2025-3-22 13:03 作者: brassy 時間: 2025-3-22 18:19 作者: 騙子 時間: 2025-3-22 21:44
Service-Oriented Business Intelligence,he 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 作者: Cougar 時間: 2025-3-23 05:05 作者: ANIM 時間: 2025-3-23 07:55 作者: 四溢 時間: 2025-3-23 09:53
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作者: instulate 時間: 2025-3-23 14:30 作者: 龍蝦 時間: 2025-3-23 20:35 作者: 無目標(biāo) 時間: 2025-3-24 01:01
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作者: 泛濫 時間: 2025-3-24 02:21
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作者: negotiable 時間: 2025-3-24 07:41 作者: Aerate 時間: 2025-3-24 11:17
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 作者: cuticle 時間: 2025-3-24 17:21
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作者: 巨頭 時間: 2025-3-24 20:02
Business Intelligence978-3-642-27358-2Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: 消極詞匯 時間: 2025-3-24 23:10
https://doi.org/10.1007/978-3-642-27358-2Business Intelligence; Data Warehouses; OLAP - Online Analytical Processing作者: 寡頭政治 時間: 2025-3-25 03:51
978-3-642-27357-5Springer-Verlag GmbH Germany, part of Springer Nature 2012作者: patella 時間: 2025-3-25 08:40 作者: Morphine 時間: 2025-3-25 15:07
Lecture Notes in Business Information Processinghttp://image.papertrans.cn/b/image/192208.jpg作者: BANAL 時間: 2025-3-25 18:05 作者: 甜瓜 時間: 2025-3-25 23:05 作者: Yourself 時間: 2025-3-26 01:52 作者: Hippocampus 時間: 2025-3-26 05:30
1865-1348 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 technologies978-3-642-27357-5978-3-642-27358-2Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: 大量殺死 時間: 2025-3-26 10:07 作者: JOT 時間: 2025-3-26 13:44
Service-Oriented Business Intelligence,techniques on it. Finally, we store the other way round. Since service companies represent around 70% of the Gross Domestic Product (GDP) in the world, special attention must be paid to their characteristics and how to adapt BI techniques to enhance services.作者: 意外 時間: 2025-3-26 20:44
Collaborative Business Intelligence,ely on a global schema to integrate the component data warehouses. In this paper we explore and compare these three directions by surveying the available work in the literature. Then we outline a new peer-to-peer framework, called Business Intelligence Network, where peers expose querying functional作者: vasospasm 時間: 2025-3-26 23:27
Textbook 2012), 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作者: 道學(xué)氣 時間: 2025-3-27 02:08 作者: LIMN 時間: 2025-3-27 05:24
https://doi.org/10.1007/978-981-33-4149-4ther are adaptations of classical clustering techniques. We have sorted them in following an increasing complexity order, because with very big graphs the complexity can be decisive for the choice of an algorithm.作者: hemophilia 時間: 2025-3-27 11:54 作者: 瑣碎 時間: 2025-3-27 15:31 作者: Immunization 時間: 2025-3-27 20:51
Graph Mining and Communities Detection,ther are adaptations of classical clustering techniques. We have sorted them in following an increasing complexity order, because with very big graphs the complexity can be decisive for the choice of an algorithm.作者: Nuance 時間: 2025-3-27 22:32
Semantic Technologies and Triplestores for Business Intelligence,d performance factors for triplestores. Finally, the paper provides an overview of Business Intelligence related scenarios where Semantic Technologies and triplestores in particular provide valuable advantage and differentiation.作者: BIAS 時間: 2025-3-28 03:06
Prospects for Media Convergence,, researchers differ in their vision of this BI evolution. In this paper, we provide an overview of the aspects proposed to be included in BI 2.0. We describe which success factors and technologies have motivated each aspect. Finally, we review how tool developers are including these new features in the next generation of BI solutions.作者: 虛假 時間: 2025-3-28 06:15 作者: moratorium 時間: 2025-3-28 13:59 作者: 搏斗 時間: 2025-3-28 18:05 作者: 男生如果明白 時間: 2025-3-28 19:17
1865-1348 c databases, social network analysis, and cloud computing.Co.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. Busin作者: GLIB 時間: 2025-3-29 02:40 作者: 鬧劇 時間: 2025-3-29 03:47
OLAP Query Personalisation and Recommendation: An Introduction,aracterized in terms of formulation effort, prescriptiveness, proactiveness, expressiveness, and in terms of the data leveraged: the current state of the database, its history, or external information.作者: Jacket 時間: 2025-3-29 09:54
