Enabling Real-Time Business Intelligence International Workshops, BIRTE 2013, Riva del Garda, Italy, August 26, 2013, and BIRTE 2014, Hangzhou, China, September 1, 2014, Revised Selected Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Castellanos, Malu (Editor), Dayal, Umeshwar (Editor), Pedersen, Torben Bach (Editor), Tatbul, Nesime (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Series: Lecture Notes in Business Information Processing, 206
• Subjects: Computer science.; Management information systems.; Database management.; Information storage and retrieval.; Application software.; Computer Science.; Information Storage and Retrieval.; Business Information Systems.; Computer Appl. in Administrative Data Processing.; Database Management.

This book constitutes the thoroughly refereed conference proceedings of the 7th International Workshop on 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 Ent...

Table of Contents:

• Query Adaptation and Privacy for Real-Time Business Intelligence
• The Inverted Data Warehouse Based on TARGIT Xbone: How the Biggest of Data Can Be Mined by “The Little Guy”
• Building Engines and Platforms for the Big Data Age
• Backtrack-Based and Window-Oriented Optimistic Failure Recovery in Distributed Stream Processing
• LinkViews: An Integration Framework for Relational and Stream Systems
• OLAP for Multidimensional Semantic Web Databases
• Detecting the Temporal Context of Queries
• Towards Exploratory OLAP Over Linked Open Data – A Case Study
• Efficient Pattern Detection Over a Distributed Framework
• A Multiple Query Optimization Scheme for Change Point Detection on Stream Processing System
• SynopSys: Foundations for Multidimensional Graph Analytics
• Big Scale Text Analytics and Smart Content Navigation
• Demo: Dynamic Generation of Adaptive Real-Time Dashboards for Continuous Data Stream Processing.