Enabling Real-Time Business Intelligence Enabling Real-Time Business Intelligence
Lecture Notes in Business Information Processing

Enabling Real-Time Business Intelligence

Third International Workshop, BIRTE 2009, Held at the 35th International Conference on Very Large Databases, VLDB 2009, Lyon, France, August 24, 2009, Revised Selected Papers

Malu Castellanos والمزيد
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وصف الناشر

In today’s competitive and highly dynamic environment, organizations need new so- tions to enable them to solve modern business problems and to make decisions using integrated, trustworthy, and up-to-date data. Modern real-time enterprises need to act on events as they happen. They need new, easy-to-use intelligent solutions capable of analyzing heterogeneous real-time enterprise data to provide insight and actionable information at the right time. To enable real-time enterprises, we need fundamental advancements in the science and engineering that underlie intelligent information management including: the management of streaming data; the modeling, analysis and management of unstructured data; along with the integrated use of unstructured, se- structured, and structure data. We need new models and paradigms that raise the level of abstraction used in such critical technologies as ETL, data warehousing, and event and business process modeling. The series of BIRTE workshops aims to provide a forum to discuss and advance the foundational science and engineering required to enable real-time business intel- gence and the novel applications and solutions that build on these foundational te- niques. Following the success of our first workshop, BIRTE 2006, held in Seoul, Korea, in conjunction with VLDB 2006, and our second workshop, BIRTE 2008, held in Auckland, New Zealand, with VLDB 2008, our third workshop was held in Lyon, France on August 24, 2009 with VLDB 2009.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢٣ يوليو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Business Intelligence for the Real-Time Enterprises Business Intelligence for the Real-Time Enterprises
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Stream Data Management Stream Data Management
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Data Management Technologies and Applications Data Management Technologies and Applications
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Performance Characterization and Benchmarking. Traditional to Big Data Performance Characterization and Benchmarking. Traditional to Big Data
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Transactions on Large-Scale Data- and Knowledge-Centered Systems XL Transactions on Large-Scale Data- and Knowledge-Centered Systems XL
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Data Analytics Data Analytics
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Real-Time Business Intelligence and Analytics Real-Time Business Intelligence and Analytics
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Enabling Real-Time Business Intelligence Enabling Real-Time Business Intelligence
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Enabling Real-Time Business Intelligence Enabling Real-Time Business Intelligence
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Business Intelligence for the Real-Time Enterprises Business Intelligence for the Real-Time Enterprises
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Survey of Text Mining II Survey of Text Mining II
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Business Intelligence for the Real-Time Enterprise Business Intelligence for the Real-Time Enterprise
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Agile Processes in Software Engineering and Extreme Programming Agile Processes in Software Engineering and Extreme Programming
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Agile Processes in Software Engineering and Extreme Programming Agile Processes in Software Engineering and Extreme Programming
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Agile Processes, in Software Engineering, and Extreme Programming Agile Processes, in Software Engineering, and Extreme Programming
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Agile Processes in Software Engineering and Extreme Programming – Workshops Agile Processes in Software Engineering and Extreme Programming – Workshops
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Agile Processes in Software Engineering and Extreme Programming – Workshops Agile Processes in Software Engineering and Extreme Programming – Workshops
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Process Mining Handbook Process Mining Handbook
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