Nonlinear time series analysis
Nonlinear time series analysis
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Event detection in sensor networks for modern oil fields
Proceedings of the second international conference on Distributed event-based systems
CHAOS: A Data Stream Analysis Architecture for Enterprise Applications
CEC '09 Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing
SIE-OBI: a streaming information extraction platform for operational business intelligence
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Better drilling through sensor analytics: a case study in live operational intelligence
Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data
Visual exploration of frequent patterns in multivariate time series
Information Visualization - Special issue on Visualization and Data Analysis 2011
Multi-resolution techniques for visual exploration of large time-series data
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
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At HP Labs, we are building "Live Operational Intelligence (Live OI) System" -- a system that ingests streams of operational data generated by multiple sources such as sensors and operational logs, and provides the operational staff real time insights in terms of suggested actions, event correlations, predictions, root cause analysis and visualization. In a Live OI framework some models are learnt offline and then deployed online, and some models are learnt online. Live OI system also supports querying of historical data to find past occurrences of patterns and suggested actions, and a dashboard for humans to monitor and interact with the operational system. This paper describes the highlights of the Live OI system as applied to monitoring oil production operation, through the discussion of use cases.