標(biāo)題: Titlebook: Enabling Real-Time Business Intelligence; 6th International Wo Malu Castellanos,Umeshwar Dayal,Elke A. Rundenstei Conference proceedings 20 [打印本頁] 作者: fundoplication 時(shí)間: 2025-3-21 17:13
書目名稱Enabling Real-Time Business Intelligence影響因子(影響力)
書目名稱Enabling Real-Time Business Intelligence影響因子(影響力)學(xué)科排名
書目名稱Enabling Real-Time Business Intelligence網(wǎng)絡(luò)公開度
書目名稱Enabling Real-Time Business Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Enabling Real-Time Business Intelligence被引頻次
書目名稱Enabling Real-Time Business Intelligence被引頻次學(xué)科排名
書目名稱Enabling Real-Time Business Intelligence年度引用
書目名稱Enabling Real-Time Business Intelligence年度引用學(xué)科排名
書目名稱Enabling Real-Time Business Intelligence讀者反饋
書目名稱Enabling Real-Time Business Intelligence讀者反饋學(xué)科排名
作者: ORE 時(shí)間: 2025-3-21 20:16
Sampling and Common Deployment Modelsfor user differences in such a large population, we provided users with the ability to satisfy the same information needs in different ways..We have tested our interface in a formative user study, in which participants used the interface to analyze four long and complex conversations, in order to an作者: 修正案 時(shí)間: 2025-3-22 00:30
Optimization Problem Formulation,mporal patterns of special interest, as well as novel techniques for mining warehouse regions that represent expected, or unexpected threats and opportunities. With such a vision in mind, we propose an architecture for such a framework, and discuss relevant challenges and research directions.作者: 膠水 時(shí)間: 2025-3-22 07:11 作者: INCH 時(shí)間: 2025-3-22 10:08
A Visual Interface for Analyzing Text Conversations,for user differences in such a large population, we provided users with the ability to satisfy the same information needs in different ways..We have tested our interface in a formative user study, in which participants used the interface to analyze four long and complex conversations, in order to an作者: Bereavement 時(shí)間: 2025-3-22 15:49 作者: Bereavement 時(shí)間: 2025-3-22 17:34 作者: 欄桿 時(shí)間: 2025-3-22 21:12 作者: 向外 時(shí)間: 2025-3-23 04:53 作者: INCH 時(shí)間: 2025-3-23 09:21 作者: FAR 時(shí)間: 2025-3-23 13:35
Oracle Container Engine for Kubernetes,vide services for integrating and analyzing data from public and commercial data sources. We present insights from interviews with seven established vendors about their key challenges with regard to pricing strategies in different market situations and derive associated research problems for the business intelligence community.作者: Euthyroid 時(shí)間: 2025-3-23 17:21
Pricing Approaches for Data Markets,vide services for integrating and analyzing data from public and commercial data sources. We present insights from interviews with seven established vendors about their key challenges with regard to pricing strategies in different market situations and derive associated research problems for the business intelligence community.作者: AMOR 時(shí)間: 2025-3-23 19:28
Conference proceedings 2013e BIRTE workshop series provides a forum to discuss and advance the science and engineering enabling real-time business intelligence and the novel applications that build on these foundational techniques. This volume contains?ten research papers, which were carefully reviewed and selected from?13 submissions.作者: 擔(dān)憂 時(shí)間: 2025-3-23 22:58 作者: 只有 時(shí)間: 2025-3-24 04:42 作者: Harass 時(shí)間: 2025-3-24 07:54 作者: 偶像 時(shí)間: 2025-3-24 12:35
Practical: A Network-Aware Scoring Function,from source data availability to query answer compared to state-of-the-art solutions. In addition to reducing the costs for bootstrapping a scientific data warehouse, our approach also reduces the costs for loading new incoming data.作者: Rustproof 時(shí)間: 2025-3-24 16:25 作者: LATE 時(shí)間: 2025-3-24 20:52
Real-Time Business Intelligence in the MIRABEL Smart Grid System, and flexibility data, efficient storage of time series and flexibilities, and real-time analytical query processing spanning past and future (forecasted) data. Experimental studies show that the proposed solutions support important real-time business intelligence tasks in a smart grid system.作者: ABHOR 時(shí)間: 2025-3-24 23:34
Instant-On Scientific Data Warehouses,from source data availability to query answer compared to state-of-the-art solutions. In addition to reducing the costs for bootstrapping a scientific data warehouse, our approach also reduces the costs for loading new incoming data.作者: FLINT 時(shí)間: 2025-3-25 05:24 作者: Fortify 時(shí)間: 2025-3-25 10:08
Data Mining in Life Sciences: A Case Study on SAPs In-Memory Computing Engine,nducted a case study in the area of proteomics research. As part of this study, we implemented a proteomics analysis pipeline in HANA. We also implemented a flexible data analysis toolbox that can be used by life sciences researchers to easily design and evaluate their analysis models.作者: outer-ear 時(shí)間: 2025-3-25 14:02
Real-Time Business Intelligence in the MIRABEL Smart Grid System,r growing amounts of renewable energy like wind and solar in the energy production. Smart grid systems are highly distributed, manage large amounts of energy related data, and must be able to react rapidly (but intelligently) when conditions change, leading to substantial real-time business intellig作者: Nuance 時(shí)間: 2025-3-25 15:50 作者: Harass 時(shí)間: 2025-3-26 00:00 作者: 釘牢 時(shí)間: 2025-3-26 01:10 作者: 空氣傳播 時(shí)間: 2025-3-26 05:40
Instant-On Scientific Data Warehouses,e. Similar to classical Extract, Transform and Load (ETL) processes, data is loaded entirely from external data sources (repositories) into a scientific data warehouse before it can be analyzed. This process is both, time and resource intensive and may not be entirely necessary if only a subset of t作者: octogenarian 時(shí)間: 2025-3-26 08:55 作者: 牲畜欄 時(shí)間: 2025-3-26 15:08 作者: 新星 時(shí)間: 2025-3-26 16:55 作者: 休閑 時(shí)間: 2025-3-26 23:14 作者: climax 時(shí)間: 2025-3-27 05:04 作者: 生來 時(shí)間: 2025-3-27 07:35
Applications of Unconstrained Optimization,systems. There is an increase in interest in recent years in combining traditional business intelligence with intelligence gleaned from new sources, including many new structured and unstructured data sources inside and outside of enterprises, such as social media data and signals generated by mobile devices.作者: 閃光你我 時(shí)間: 2025-3-27 13:31
Live Analytics Service Platform,systems. There is an increase in interest in recent years in combining traditional business intelligence with intelligence gleaned from new sources, including many new structured and unstructured data sources inside and outside of enterprises, such as social media data and signals generated by mobile devices.作者: BALE 時(shí)間: 2025-3-27 14:22
https://doi.org/10.1007/978-3-642-39872-8DSS; OLAP; SAP HANA; business intelligence; data analytics; data warehouses; decision-support systems; in-m作者: Nuance 時(shí)間: 2025-3-27 19:55
978-3-642-39871-1Springer-Verlag Berlin Heidelberg 2013作者: Host142 時(shí)間: 2025-3-28 01:18
Enabling Real-Time Business Intelligence978-3-642-39872-8Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: 持續(xù) 時(shí)間: 2025-3-28 03:49 作者: 蕨類 時(shí)間: 2025-3-28 06:33 作者: 去掉 時(shí)間: 2025-3-28 13:09
TDD and BDD for Node.js with Mocha,r growing amounts of renewable energy like wind and solar in the energy production. Smart grid systems are highly distributed, manage large amounts of energy related data, and must be able to react rapidly (but intelligently) when conditions change, leading to substantial real-time business intellig作者: MOTTO 時(shí)間: 2025-3-28 15:00
Peter F. Sharp,Keith A. Goatmanytical performance makes them a promising platform for data mining tasks found in life sciences. One such system is the HANA database, SAP’s in-memory data management solution. In this contribution, we show how HANA meets some inherent requirements of data mining in life sciences. Furthermore, we co作者: dissent 時(shí)間: 2025-3-28 21:45 作者: 矛盾心理 時(shí)間: 2025-3-28 23:50 作者: LAST 時(shí)間: 2025-3-29 06:27
Practical: A Network-Aware Scoring Function,e. Similar to classical Extract, Transform and Load (ETL) processes, data is loaded entirely from external data sources (repositories) into a scientific data warehouse before it can be analyzed. This process is both, time and resource intensive and may not be entirely necessary if only a subset of t作者: 手工藝品 時(shí)間: 2025-3-29 07:17
Basic Operations on Images and GUI Windowsors such as ., ., and . of a database management system. Thereby, each of these operator types is “sandwiched” by two new operators, namely . and .. . splits the input relation into its smaller independent groups on which the sandwiched operator is executed. After a group is processed, . is used to 作者: AVID 時(shí)間: 2025-3-29 12:12
