ACM SIGKDD Workshop on Knowledge Discovery from Sensor Data

August 12th, 2007, San Jose, CA, USA

URL:
[http://www.ornl.gov/sci/knowledgediscovery/KDD-2007-Workshop/](http://www.ornl.gov/sci/knowledgediscovery/KDD-2007-Workshop/index.htm)

In conjunction with ACM SIGKDD International Conference on

Knowledge Discovery and Data Mining (KDD\'07)

**CALL FOR PAPERS**

**Important dates**

\* May 20, 2007: Submission deadline

\* June 17, 2007: Author notification

\* June 24, 2007: Submission of Camera-ready papers

\* August 12, 2007: Full-day Workshop

**Brief Description**

Wide-area sensor infrastructures, remote sensors, and wireless sensor
networks yield massive volumes of disparate, dynamic, and geographically
distributed data. As sensors are becoming ubiquitous, a set of broad
requirements is beginning to emerge across high-priority applications
including disaster preparedness and management, adaptability to climate
change, national or homeland security, and the management of critical
infrastructures. The raw data from sensors need to be efficiently
managed and transformed to usable information through data fusion, which
in turn must be converted to predictive insights via knowledge
discovery, ultimately facilitating automated or human-induced tactical
decisions or strategic policy. The challenges for the Knowledge
Discovery community are immense. On the one hand, dynamic data streams
or events require real-time analysis methodologies and systems, while on
the other hand centralized processing through high end computing is
required for generating offline predictive insights, which in turn can
facilitate real-time analysis. Problems ranging from mitigating
hurricane impacts, preparing for abrupt climate change, preventing
terror attacks and monitoring improvised explosive devices require
knowledge discovery solutions designed to detect and analyze anomalies,
change, extremes and nonlinear processes, and departures from normal
behavior.

**Suggested Topics**

This workshop seeks to bring together researchers from academia,
government and the private sector to facilitate cross-disciplinary
exchange of ideas in the area of knowledge discovery from sensor and
stream data. Interested authors should submit high quality research
papers using the standard ACM format found
[here](http://www.acm.org/sigs/pubs/proceed/template.html) in MS Word or
PDF format as an email attachment to <ACM.WSD@gmail.com>. Papers,
accepted for presentation at the workshop will be published in the
workshop proceedings. [In addition, selected best papers will be invited
for publication in a leading International journal (check workshop web
page for periodic updates). ]{.underline}All submitted papers will be
refereed for quality and originality by the Program Committee. The major
topics of the workshop include but are not limited to:

**A. Data Mining Techniques**\
1. Sensor data preprocessing, representation, and transformation\
2. Scalable and distributed classification, prediction, and clustering
algorithms

3\. Space-time sampling techniques

**B. Offline Knowledge Discovery**\
1. Predictive analysis from geographically distributed heterogeneous
data\
2. Mining unusual patterns from massive and disparate spatio-temporal
data\
3. Real-time updates to large-scale computational models based on sensor
data assimilation

**C. Online Knowledge Discovery**\
1. Real-time extraction and analysis of dynamic and distributed data\
2. Mining continuous streams and ubiquitous data\
3. Resource-aware algorithms for distributed mining\
4. Real-time event detection, visualization, and alarm generation
algorithms

**D. Decision and Policy Aids**\
1. Coordinated offline discovery and online analysis with feedback
loops\
2. Combination of knowledge discovery and decision scientific processes\
3. Facilitation of faster and reliable tactical and strategic decisions

**E. Case Studies**\
1. Success stories, especially about end-to-end solutions, for national
or global priorities\
2. Real-world problem design and knowledge discovery requirements

**Invited Speakers**

In addition to the oral presentation of accepted papers, the workshop
will feature invited talks from four leading experts from academia and
government. Invited speakers are Dr. Joydeep Ghosh, Dr. Hillol Kargupta,
Dr. Pedro Domingos, Dr. Brian A. Worley.

**Workshop Chairs**

-   Auroop R. Ganguly, Oak Ridge National Laboratory, Oak Ridge, TN

-   Joao Gama, University of Porto, Portugal

-   Olufemi A. Omitaomu, Oak Ridge National Laboratory, Oak Ridge, TN

-   Mohamed Medhat Gaber, CSIRO ICT Centre, Australia

-   Ranga Raju Vatsavai, Oak Ridge National Laboratory, Oak Ridge, TN

**Program Committee**

Jesus S. Aguilar-Ruiz, University of Pablo de Olavide, Spain

Arindam Banerjee, University of Minnesota, MN

Budhendra Bhaduri, Oak Ridge National Laboratory, Oak Ridge, TN

Michaela Black, University of Ulster, Coleraine, Northern Ireland, UK

Marcos Campos, Oracle Corporation, Burlington, MA

Andre Carvalho, University of Sao Paulo, Brazil

Yi Fang, Oak Ridge National Laboratory, Oak Ridge, TN

Francisco Ferrer, University of Seville, Spain

Mohamed Medhat Gaber, CSIRO ICT Centre, Australia

Joao Gama, University of Porto, Portugal

Auroop R. Ganguly, Oak Ridge National Laboratory, Oak Ridge, TN

Ray Hickey, University of Ulster, Coleraine, Northern Ireland, UK

Tailen Hsing, The Ohio State University, Columbus, OH

Ralf Klinkenberg, University of Dortmund, Germany

Jeremy Z. Kolter, Georgetown University, Washington, DC

Miroslav Kubat, University Miami, FL

Mark Last, Ben-Gurion University, Israel

Elaine Parros Machado de Sousa, University of Sao Paulo, Brazil

Mark Maloof, Georgetown University, Washington, DC

S. Muthu Muthukrishnan, Rutgers University and AT&T Research

Masayuki Numao, Osaka University, Japan

Olufemi A. Omitaomu, Oak Ridge National Laboratory, Oak Ridge, TN

George Ostrouchov, Oak Ridge National Laboratory, Oak Ridge, TN

Vladimir A. Protopopescu, Oak Ridge National Laboratory, Oak Ridge, TN

Pedro Rodrigues, University of Porto, Portugal

Josep Roure, Carnegie Mellon University, Pittsburgh, PA

Bernhard Seeger, University Marburg, Germany

Mallikarjun Shankar, Oak Ridge National Laboratory, Oak Ridge, TN

Shashi Shekhar, University of Minnesota, MN

Ranga Raju Vatsavai, Oak Ridge National Laboratory, Oak Ridge, TN

Min Wang, IBM Watson Research Center, Hawthorne, NY

Wei Wang, University of North Carolina, Chapel Hill, NC

Xiaoyang Sean Wang, University of Vermont, Burlington, VT

Gerhard Widmer, University of Linz, Austria

Philip S. Yu, IBM Watson Research Center, Yorktown Heights, NY

**Workshop Sponsors**

1\. [Computational Sciences and Engineering
Division](http://computing.ornl.gov/cse_home/), [Oak Ridge National
Laboratory](http://www.ornl.gov/)\
2. [European Project KDUbiq-WG3](http://www.kdubiq.org/), Information
Society Technology, European Union

For additional information, please visit the Workshop web site at:

<http://www.ornl.gov/sci/knowledgediscovery/KDD-2007-Workshop/index.htm>