affront 发表于 2025-3-21 16:10:10
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Business Intelligence for the Real-Time EnterprisesFirst Internationalgraphy 发表于 2025-3-22 00:49:56
Document-Centric OLAP in the Schema-Chaos World,ach today is to ETL every single document into a common schema, and then use XQuery on the transformed data to perform aggregation. Such a solution does not scale well with the number of schemas or their natural evoluation. This paper presents a robust solution to document-centric OLAP over highly-htooth-decay 发表于 2025-3-22 08:11:47
An Integrated Approach to Process-Driven Business Performance Monitoring and Analysis for Real-Timeto the basic process-related data such as activity start and finish times, the proposed framework allows for monitoring other important business contents as well as events from various sources, including business process definitions, forms and documents, database management systems, enterprise appliMettle 发表于 2025-3-22 10:05:23
Quality Contracts for Real-Time Enterprises,digm and provides an intuitive and easy to use, yet very powerful way for users to specify their preferences for QoS and QoD. Beyond presenting the QC framework, we present results of applying it in two different domains: scheduling in real-time web-databases and replica selection in distributed queBadger 发表于 2025-3-22 13:22:01
The Missing Public in U.S. Public Diplomacy,ach today is to ETL every single document into a common schema, and then use XQuery on the transformed data to perform aggregation. Such a solution does not scale well with the number of schemas or their natural evoluation. This paper presents a robust solution to document-centric OLAP over highly-h玛瑙 发表于 2025-3-22 19:54:38
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Convergence and Consumer Behaviordigm and provides an intuitive and easy to use, yet very powerful way for users to specify their preferences for QoS and QoD. Beyond presenting the QC framework, we present results of applying it in two different domains: scheduling in real-time web-databases and replica selection in distributed queCalculus 发表于 2025-3-23 04:48:38
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