Titlebook: Business Intelligence for the Real-Time Enterprises; First International Christoph Bussler,Malu Castellanos,Sham Navathe Conference procee

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書目名稱Business Intelligence for the Real-Time Enterprises影響因子(影響力)




書目名稱Business Intelligence for the Real-Time Enterprises影響因子(影響力)學(xué)科排名




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書目名稱Business Intelligence for the Real-Time Enterprises被引頻次




書目名稱Business Intelligence for the Real-Time Enterprises被引頻次學(xué)科排名




書目名稱Business Intelligence for the Real-Time Enterprises年度引用




書目名稱Business Intelligence for the Real-Time Enterprises年度引用學(xué)科排名




書目名稱Business Intelligence for the Real-Time Enterprises讀者反饋




書目名稱Business Intelligence for the Real-Time Enterprises讀者反饋學(xué)科排名

Obstacle

Business Intelligence for the Real-Time EnterprisesFirst International

graphy

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-h

tooth-decay

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 appli

Mettle

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 que

Badger

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

瑪瑙

冒號(hào)

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 que

Calculus

陰郁