The Eleventh International Workshop on Real-Time Business Intelligence and Analytics (BIRTE 2017), which was held on August 28, 2017 in conjunction with the VLDB 2017 Conference, provided a forum for presentation of the latest research results, new technology developments, and new applications in the areas of business intelligence, data streams and real time enterprise.
Proceeding Downloads
Self-Regulating Streaming Systems: Challenges and Opportunities
In recent years, stream processing systems have been deployed in almost every organization due to the explosion of large-scale analytics applications. Our discussions with users of these systems within Microsoft and Twitter have revealed that a major ...
Towards Dynamic Data Placement for Polystore Ingestion
Integrating low-latency data streaming into data warehouse architectures has become an important enhancement to support modern data warehousing applications. In these architectures, heterogeneous workloads with data ingestion and analytical queries must ...
Detection of Highly Correlated Live Data Streams
More and more organizations (commercial, health, government and security) currently base their decisions on real-time analysis of fast arriving, large volumes of data streams. For such analysis to lead to actionable information in real-time and at the ...
Striim: A streaming analytics platform for real-time business decisions
- Alok Pareek,
- Bhushan Khaladkar,
- Rajkumar Sen,
- Basar Onat,
- Vijay Nadimpalli,
- Manish Agarwal,
- Nicholas Keene
Real-time decisions and insights over real-time data have become the essential mantra of success for many enterprises. The real-time data is generated from a multitude of sources and they come in a streaming fashion with high volume and velocity. The ...
Towards Real-Time Road Traffic Analytics using Telco Big Data
A telecommunication company (telco) is traditionally only perceived as the entity that provides telecommunication services, such as telephony and data communication access to users. However, the IP backbone infrastructure of such entities spanning ...
Performing OLAP over Graph Data: Query Language, Implementation, and a Case Study
In current Big Data scenarios, traditional data warehousing and Online Analytical Processing (OLAP) operations on cubes are clearly not sufficient to address the current data analysis requirements. Nevertheless, OLAP operations and models can expand the ...
Index Terms
- Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
BIRTE 2019 | 10 | 6 | 60% |
BIRTE '17 | 11 | 6 | 55% |
Overall | 21 | 12 | 57% |