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ACS 2013 : Analytics for Cyber-Physical Systems


When May 6, 2013 - May 6, 2013
Where Austin, TX
Submission Deadline Jan 25, 2013
Notification Due Feb 1, 2013
Final Version Due Feb 7, 2013
Categories    data mining   cyber-physical systems   machine learning

Call For Papers

2nd International Workshop on Analytics for Cyber-Physical Systems (ACS-2013)
Held in conjunction with SIAM Data Mining (SDM-2013)

A cyber-physical system (CPS) is a system that exhibits a co-ordination between
the system's computational and physical elements. Such systems are becoming
increasingly ubiquitous with applications in diverse domains such as
transportation, health care, emergency response, physical infrastructure, etc.
Typically, such systems are often configured as a system of sub-systems that are
functionally independent but operationally dependent on each other. Analyzing
data collected from such CPS requires a system of systems approach, which is not
often seen in traditional data analytic solutions. The CPS domain possesses
unique sets of challenges, in terms of modeling the relationship between
different sub-systems to effectively extract knowledge from underlying data,
while operating under real time contraints and handling massive and often
streaming data.

Building on the success of first workshop at SDM 2012, the 2nd 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.

Topics of Interest

The workshop welcomes contributions in any area of analytics for Cyber-Physical
systems. The topics include:

* Sensor Data Mining
- Time series mining
- Outlier detection for identifying faults and anomalies in CPS
- Data mining/machine learning for massive sensor data
- Signal processing of real world sensor data
* Event Mining
- Analyzing Logs for Event Detection
- Complex Event Processing
- Online failure prediction
* Big Data Challenges in CPS
- Distributed analytics over big data
- Scaling standard analytic algorithms to big data
- Near real time analytics for streaming data
- Mining Heterogeneous Data
- Transfer learning from one CPS domain to another
* Applications and Case Studies
- Challenges in using analytics to close the control loop in CPS.
- Success stories deployment of CPS.
- Challenges in deployment of CPS.
- New application domains for CPS.

We solicit high quality papers and extended abstracts in the general areas of
data analytics for large cyber-physical systems. We also encourage submissions
describing work in progress in relevant areas.

All submitted papers will be peer reviewed. We have identified a set of
researchers who are currently active in the related research areas as potential
reviewers (Click here for the preliminary list). If accepted, at least one of
the authors must attend the workshop to present the work. Selected accepted
papers will be recommended for submission to special issues of journals.

Paper Submission

All full papers should have a maximum length of 8 pages (single-spaced, 2
column, 10 point font, and at least 1 inch margin on each side). We also invite
4 page extended abstracts. Authors should use US Letter (8.5 in x 11 in) paper
size. Papers must have an abstract with a maximum of 300 words and a keyword
list with no more than 6 keywords. Authors are required to submit their papers
electronically in PDF format (postscript files can be converted using standard
converters) to We would
like to encourage you to prepare your paper in LaTeX2e. Papers should be
formatted using the SIAM SODA macro, which is available through the SIAM
website. You can access it at The
filename is soda2e.all. Make sure you use the macros for SODA and Data Mining
Proceedings; papers prepared using other proceedings macros will not be
accepted. For Microsoft Word users, please convert your document to the PDF
format. All submissions should clearly present the author information including
the names of the authors, the affiliations and the emails. The papers should be
submitted using the workshop submission system.

Important Dates

Paper Submission: January 18, 2013
Notification of Acceptance: February 1, 2013
Camera Ready Paper Due: February 7, 2013

All submission are due at 11:59 PM Pacific Standard Time.
1. Chetan Gupta, Hewlett Packard Labs, CA, USA.
2. Varun Chandola, Oak Ridge National Laboratory, TN, USA.
3. Ranga Raju Vatsavai, Oak Ridge National Laboratory, TN, USA.

For more information:

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