Enabling Real-Time Business Intelligence: 6th International Workshop, BIRTE 2012, Held at the 38th International Conference on Very Large Dat by Malu CastellanosEnabling Real-Time Business Intelligence: 6th International Workshop, BIRTE 2012, Held at the 38th International Conference on Very Large Dat by Malu Castellanos

Enabling Real-Time Business Intelligence: 6th International Workshop, BIRTE 2012, Held at the 38th…

byMalu CastellanosEditorUmeshwar Dayal, Elke A. Rundensteiner

Paperback | August 13, 2013

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This book constitutes the thoroughly refereed conference proceedings of the 6th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2012, held in Istanbul, Turkey, in August 2012, in conjunction with VLDB 2012, the International Conference on Very Large Data Bases. The 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.
Title:Enabling Real-Time Business Intelligence: 6th International Workshop, BIRTE 2012, Held at the 38th…Format:PaperbackDimensions:145 pagesPublished:August 13, 2013Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642398715

ISBN - 13:9783642398711

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Table of Contents

Real-Time Business Intelligence in the MIRABEL Smart Grid System.- Data Mining in Life Sciences: A Case Study on SAPs In-Memory Computing Engine.- The Vivification Problem in Real-Time Business Intelligence: A Vision.- An On-Demand ELT Architecture for Real-Time BI.- Instant-On Scientific Data Warehouses: Lazy ETL for Data-Intensive Research.- Query Processing of Pre-partitioned Data Using Sandwich Operators.- A Visual Interface for Analyzing Text Conversations.- Live Analytics Service Platform.- Strategic Management for Real-Time Business Intelligence.- Pricing Approaches for Data Markets.