Enabling Real-Time Business Intelligence 5th International Workshop, BIRTE 2011, Held at the 37th International Conference on Very Large Databases, VLDB 2011, Seattle, WA, USA, September 2, 2011, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Castellanos, Malu (Επιμελητής έκδοσης), Dayal, Umeshwar (Επιμελητής έκδοσης), Lehner, Wolfgang (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
• Σειρά: Lecture Notes in Business Information Processing, 126
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Database management.; Information storage and retrieval.; Application software.; Computer Science.; Information Storage and Retrieval.; IT in Business.; Computer Appl. in Administrative Data Processing.; Database Management.

 This book constitutes the thoroughly refereed conference proceedings of the 5th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2011, held in Seattle, WA, USA, in September 2011, in conjunction with VLDB 2011, the International Conference on Very Large Data Bases. The series of BIRTE workshops aims to provide a forum for researchers to discuss and advance the foundational science and engineering required to enable real-time business intelligence as well as novel applications and solutions based on these foundational techniques.The volume contains 6 research papers, which have been carefully reviewed and selected from 12 submissions, plus the 3 keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-time data, handling of temporal or uncertain data, performance issues, event management, and the optimization of complex ETL workflows. The volume contains 6 research papers, which have been carefully reviewed and selected from 12 submissions, plus the 3 keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-time data, handling of temporal or uncertain data, performance issues, event management, and the optimization of complex ETL workflows. 

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