1st International Workshop on Analytics for Cyber-Physical Systems
Date: Apr 25, 2012 4:00 am – Apr 25, 2012 4:00 am
Location: To be held with SDM 2012, at Anaheim, CA
The 1st workshop on Analytics for Cyber-Physical Systems aims to bring together researchers from academia, government and industrial research labs who are working in the area of Cyber-Physical Systems with an eye towards real world deployments. Large scale physical systems are increasingly being instrumented with various types of sensors (including human sensors). To convert this data into actionable insights, analytics is needed at each step: From signal processing of distributed sensor data, to business intelligence techniques to integrate data from various sources, and to techniques from data mining to machine learning to give us insights over this data.
The workshop welcomes contributions in any area of analytics for Cyber-Physical systems. The topics include:
- Signal processing of real world sensor data
- Scaling standard analytic algorithms to massive data
- Time series mining
- Event mining
- Data mining/machine learning for massive sensor data
- Data mining/machine learning for streaming data
- Identifying faults and anomalies in cyber-physical systems
- Application case studies that demonstrate real life deployment of cyber-physical systems
- Analyzing Logs for Event Detection
- Complex Event Processing
- Distributed Data Mining
- Mining Heterogeneous Data
- Transfer learning from one cyber-physical domain to another
The main motivation for this workshop stems from the increasing need for a forum to exchange ideas and recent research results, and to facilitate collaboration and dialog between academia, government, and industrial stakeholders.
Submitted by Chetan Gupta
on
The 1st workshop on Analytics for Cyber-Physical Systems aims to bring together researchers from academia, government and industrial research labs who are working in the area of Cyber-Physical Systems with an eye towards real world deployments. Large scale physical systems are increasingly being instrumented with various types of sensors (including human sensors). To convert this data into actionable insights, analytics is needed at each step: From signal processing of distributed sensor data, to business intelligence techniques to integrate data from various sources, and to techniques from data mining to machine learning to give us insights over this data.
The workshop welcomes contributions in any area of analytics for Cyber-Physical systems. The topics include:
- Signal processing of real world sensor data
- Scaling standard analytic algorithms to massive data
- Time series mining
- Event mining
- Data mining/machine learning for massive sensor data
- Data mining/machine learning for streaming data
- Identifying faults and anomalies in cyber-physical systems
- Application case studies that demonstrate real life deployment of cyber-physical systems
- Analyzing Logs for Event Detection
- Complex Event Processing
- Distributed Data Mining
- Mining Heterogeneous Data
- Transfer learning from one cyber-physical domain to another
The main motivation for this workshop stems from the increasing need for a forum to exchange ideas and recent research results, and to facilitate collaboration and dialog between academia, government, and industrial stakeholders.