【2019新书】Real-Time Business Intelligence and Analytics

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Real-Time Business Intelligence and Analytics: International Workshops
by Malu Castellanos (Editor), Panos K. Chrysanthis (Editor), Konstantinos Pelechrinis (Editor)

About this book
This book constitutes the thoroughly refereed conference proceedings of the BIRTE workshops listed below, which were held in in conjunction with VLDB, the International Conference on Very Large Data Bases:

• 9th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2015, held in Kohala Coast, Hawaii, in August 2015,
• 10th International Workshop on Enabling Real-Time Business Intelligence, BIRTE 2016, held in New Delhi, India, in September 2016,
• 11th International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2017, held in Munich, Germany, in August 2017.
  

The BIRTE workshop series provides a forum for the discussion and advancement of the science and engineering enabling real-time business intelligence and the novel applications that build on these foundational techniques.
The book includes five selected papers from BIRTE 2015; five selected papers from BIRTE 2016; and three selected papers from BIRTE 2017.

Brief contents
BIRTE 2015
RILCA: Collecting and Analyzing User-Behavior Information in Instant Search Using Relational DBMS 3
A Federated In-memory Database System for Life Sciences 19
An Integrated Architecture for Real-Time and Historical Analytics in Financial Services 35
Processing of Aggregate Continuous Queries in a Distributed Environment 45
High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads 63
BIRTE 2016
Past and Future Steps for Adaptive Storage Data Systems: From Shallow to Deep Adaptivity 85
PolyRecs: Improving Page–View Rates Using Real-Time Data Analysis. 95
Enabling Real Time Analytics over Raw XML Data 113
Multi-engine Analytics with IReS 133
Ubiq: A Scalable and Fault-Tolerant Log Processing Infrastructure 155
BIRTE 2017
Towards Interactive Data Exploration 177
DCS: A Policy Framework for the Detection of Correlated Data Streams 191
Towards Dynamic Data Placement for Polystore Ingestion 211
Author Index 229

Pages: 230 pages
Publisher: Springer; 1st ed. 2019 edition (December 2, 2019)
Publication Date: December 2, 2019
Language: English
ASIN: B07YZ4191T

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