標(biāo)題: Titlebook: Enabling Real-Time Business Intelligence; International Worksh Malu Castellanos,Umeshwar Dayal,Nesime Tatbul Conference proceedings 2015 Sp [打印本頁] 作者: 債務(wù)人 時間: 2025-3-21 17:19
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: Legion 時間: 2025-3-21 20:27 作者: 芳香一點 時間: 2025-3-22 04:10
Pharmacotherapy of Tricuspid Valve Disease insights from the data. The results of these insights are periodically deployed into the real-time pipeline, in order to perform business actions or raise alerts. We are currently witnessing a move towards ., where some of the offline activities may be performed in memory, directly over the real-ti作者: induct 時間: 2025-3-22 05:06
Pars Plana Vitrectomy: The Basics,tency overhead must be minimized for accommodating real-time analytics. This issue has been studied in various contexts. In this work we develop the .. mechanism to allow a task to roll forward without waiting for acknowledgement from its downstream target tasks in the failure-free case, but to requ作者: Ingrained 時間: 2025-3-22 10:33 作者: neutral-posture 時間: 2025-3-22 15:57
The Mass Spectrometry Data Centre,its scalability in their volumes, inconsistency in semantics and complexity in representations. On-Line Analytical Processing (OLAP) is an important tool in analysing large and complex BI data, but it lacks the capability of processing disperse SW data due to the nature of its design. A new concept 作者: neutral-posture 時間: 2025-3-22 18:04
Practical Materials Characterizationonstructed in exacting detail, assumptions about the data made during extraction, transformation, and schema and query creation of the reporting database may be (accidentally) ignored by end users, or may change as the database evolves over time. As these assumptions are typically implicit (e.g., as作者: 傻 時間: 2025-3-23 00:12 作者: PURG 時間: 2025-3-23 02:58 作者: 猛然一拉 時間: 2025-3-23 06:43 作者: Custodian 時間: 2025-3-23 10:02
Introduction to Credit Derivatives,form of graphs. Making sense of incessantly growing graphs is not only a key requirement in applications like social media analysis or fraud detection but also a necessity in many traditional enterprise scenarios. Thus, a flexible approach for multidimensional analysis of graph data is needed. Where作者: acrophobia 時間: 2025-3-23 14:35 作者: mortuary 時間: 2025-3-23 21:13 作者: farewell 時間: 2025-3-23 23:27 作者: mastopexy 時間: 2025-3-24 04:08
Malu Castellanos,Umeshwar Dayal,Nesime TatbulIncludes supplementary material: 作者: 引起 時間: 2025-3-24 10:05 作者: 使成波狀 時間: 2025-3-24 12:13 作者: 猛然一拉 時間: 2025-3-24 15:12
Enabling Real-Time Business Intelligence978-3-662-46839-5Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: Isthmus 時間: 2025-3-24 20:37
A Multiple Query Optimization Scheme for Change Point Detection on Stream Processing System,esult of experiments showed that our proposal reduces more than 80?% internal steps and achieved 5 times performance improvement. To the best of our knowledge, this is the first work that applies the multiple query optimization scheme for CPD.作者: 起皺紋 時間: 2025-3-25 02:52
Strategic Matrices and Customer Analysis,interesting information about Google’s algorithmic behavior on specific searches. Finally, we demonstrate the combined TARGIT Xbone and IDW to be very cost-effective and thus available to small enterprises that would normally not benefit from Big Data analytics.作者: Ledger 時間: 2025-3-25 04:08
Conference proceedings 2015erprise, BIRTE 2013, held in Riva del Garda, Italy, in August 2013 and of the 8th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2014, held in Hangzhou, China, in September 2014, in conjunction with VLDB 2013 and 2014, the International Conference on Very Large D作者: Carbon-Monoxide 時間: 2025-3-25 09:32 作者: Integrate 時間: 2025-3-25 13:28 作者: chance 時間: 2025-3-25 19:51 作者: 積習(xí)難改 時間: 2025-3-25 20:40 作者: heartburn 時間: 2025-3-26 01:09
Marketing: What’s It All About?investigated research area. We claim that this framework: (a) is transparent to naive database users, (b) addresses an important and useful class of queries, overlooked so far, (c) presents numerous optimization opportunities to minimize communication and processing costs, and (d) can serve as a standard for relational-stream interoperability.作者: Maximize 時間: 2025-3-26 07:09
Practical Materials Characterizationpendence, and explore several strategies for efficiently detecting and quantifying the effects of contextual dependence on query outputs. We present and evaluate our findings in the context of a concrete case study: Detecting temporal dependence using a database management system with versioning capabilities.作者: 充足 時間: 2025-3-26 08:55 作者: 暫時別動 時間: 2025-3-26 16:16
https://doi.org/10.1007/978-1-4842-4501-9 order to enable a responsive user experience while searching for relevant content. With HANA, we are able to implement this functionality over big data on a single machine?by making use of HANA’s SQL data store and the built-in application server.作者: 故意 時間: 2025-3-26 20:06 作者: 必死 時間: 2025-3-26 23:58 作者: RAG 時間: 2025-3-27 01:09
Detecting the Temporal Context of Queries,pendence, and explore several strategies for efficiently detecting and quantifying the effects of contextual dependence on query outputs. We present and evaluate our findings in the context of a concrete case study: Detecting temporal dependence using a database management system with versioning capabilities.作者: 白楊魚 時間: 2025-3-27 08:21
,Towards Exploratory OLAP Over Linked Open Data – A Case Study,uild a cube. We also propose a computer-aided process for discovering previously unknown data sources and building a multidimensional schema of the cube. We present a use case to demonstrate the applicability of the approach.作者: Fretful 時間: 2025-3-27 13:20
Big Scale Text Analytics and Smart Content Navigation, order to enable a responsive user experience while searching for relevant content. With HANA, we are able to implement this functionality over big data on a single machine?by making use of HANA’s SQL data store and the built-in application server.作者: Enteropathic 時間: 2025-3-27 17:01
Demo: Dynamic Generation of Adaptive Real-Time Dashboards for Continuous Data Stream Processing,-time. In this demonstration, we provide different data stream sources, continuous queries and dashboard parts. With them, the user can compose his own individual presentation of his processing results.作者: Dappled 時間: 2025-3-27 17:59
1865-1348 Business Intelligence for the Real-Time Enterprise, BIRTE 2013, held in Riva del Garda, Italy, in August 2013 and of the 8th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2014, held in Hangzhou, China, in September 2014, in conjunction with VLDB 2013 and 2014, t作者: 斜坡 時間: 2025-3-28 00:08
Robert F. Schleif,Pieter C. Wensinkesult of experiments showed that our proposal reduces more than 80?% internal steps and achieved 5 times performance improvement. To the best of our knowledge, this is the first work that applies the multiple query optimization scheme for CPD.作者: 受傷 時間: 2025-3-28 02:28 作者: 換話題 時間: 2025-3-28 07:47
Building Engines and Platforms for the Big Data Age,nes, and with varying latency needs and complex application logic, requires a rethinking of both data and query processing models and software artifacts that realize such models. This paper surveys the challenges and requirements created by such workflows, and summarizes our research efforts on addr作者: 形狀 時間: 2025-3-28 12:34 作者: 脫水 時間: 2025-3-28 16:30 作者: perjury 時間: 2025-3-28 18:54
Efficient Pattern Detection Over a Distributed Framework,artitions across network, and detects pattern sequences in distributed fashion. Our scheme also provides an effective means to minimize potential data skew and handles a substantial number of pattern queries across network.作者: 使無效 時間: 2025-3-29 02:03 作者: Asseverate 時間: 2025-3-29 06:11 作者: archenemy 時間: 2025-3-29 07:29 作者: 陰郁 時間: 2025-3-29 12:52 作者: Eosinophils 時間: 2025-3-29 16:56
The Mass Spectrometry Data Centre,rate its capability to unify RDF Data Cube (QB) [.] and QB4OLAP [.] with additional vocabulary elements to handle both informational and topological data [.] in Graph OLAP. It is also able to compose multiple databases (e.g. energy consumptions and property market values etc.) to generate observatio作者: 積極詞匯 時間: 2025-3-29 20:12
Practical Methods in Cardiovascular Researchartitions across network, and detects pattern sequences in distributed fashion. Our scheme also provides an effective means to minimize potential data skew and handles a substantial number of pattern queries across network.作者: seduce 時間: 2025-3-30 01:14 作者: FLAX 時間: 2025-3-30 05:57 作者: heterogeneous 時間: 2025-3-30 08:32
Building Engines and Platforms for the Big Data Age, insights from the data. The results of these insights are periodically deployed into the real-time pipeline, in order to perform business actions or raise alerts. We are currently witnessing a move towards ., where some of the offline activities may be performed in memory, directly over the real-ti作者: 成績上升 時間: 2025-3-30 12:29
Backtrack-Based and Window-Oriented Optimistic Failure Recovery in Distributed Stream Processing,tency overhead must be minimized for accommodating real-time analytics. This issue has been studied in various contexts. In this work we develop the .. mechanism to allow a task to roll forward without waiting for acknowledgement from its downstream target tasks in the failure-free case, but to requ作者: 博識 時間: 2025-3-30 16:56
LinkViews: An Integration Framework for Relational and Stream Systems,rs), social networks (status updates) and many others. While data stream management systems (DSMS) are technologically mature, they lack standardization in terms of modeling, querying and interoperability. In addition, so far, stream processing was confined within an organization. However, modern ap作者: apiary 時間: 2025-3-30 23:22 作者: 兩棲動物 時間: 2025-3-31 01:06
Detecting the Temporal Context of Queries,onstructed in exacting detail, assumptions about the data made during extraction, transformation, and schema and query creation of the reporting database may be (accidentally) ignored by end users, or may change as the database evolves over time. As these assumptions are typically implicit (e.g., as作者: 節(jié)省 時間: 2025-3-31 07:22
