SensorKDD 2012 : 6th International Workshop on Knowledge Discovery from Sensor Data
Call For Papers
6th International Workshop on Knowledge Discovery from Sensor Data August 12, 2012, Beijing, China in conjunction with ACM KDD 2012.
Deadline for submissions: June 02, 2012
Wide-area sensor infrastructures, remote sensors, RFIDs, phasor measurements, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. With the recent proliferation of smart-phones and similar GPS enabled mobile devices with several onboard sensors, collection of sensor data is no longer limited to scientific communities, but has reached general public. As such sensors are becoming ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including adaptability to national or homeland security, critical infrastructures monitoring, smart grids, disaster preparedness and management, greenhouse emissions and climate change, and transportation. 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 based on decision sciences and decision support systems.
We seek papers related to the theoretical foundations of sensor data mining, new adaptations, improvements upon existing methodologies as well as novel applications of data mining techniques in problems broadly related to sensor data for consideration in the workshop. We also welcome cross-disciplinary case studies and success stories for knowledge discovery from sensor data, particularly end-to-end frameworks that encompass one or more areas among the following: data acquisition, offline data mining and online analysis, hypothesis generation, model validation, uncertainty assessment, as well as translations to decisions and policy.
Topics of interest include (but are not limited to) the following:
1. Offline Knowledge Discovery
• Predictive analysis from geographically distributed and heterogeneous data.
• Computationally efficient approaches for mining unusual patterns, specifically,
anomalies, extremes, nonlinear processes and change, from massive and disparate
2. Online Knowledge Discovery
• Real-time analysis of dynamic and distributed data, including continuous streams
of time-changing and event-based data.
• Resource-aware algorithms for distributed mining.
3. Decision and Policy Aids
• Coordinated offline discovery and online analysis with feedback loops.
• Combination of knowledge discovery and decision scientific processes.
• Facilitation of faster and reliable tactical decisions as well as prudent and
insightful longer term policies.
• Theoretical frameworks for distributed stream mining.
• Distributed data stream models.
5. Case Studies
• Success stories in national or global priority applications.
• Real-world problem design and knowledge discovery requirements.
Papers in both long and short formats will be accepted for final submission. Interested authors should submit their papers using the standard ACM style in MS Word or PDF format as an email attachment to email@example.com. Papers submitted to this workshop will be peer-reviewed and authors will be notified of acceptance/rejection. Manuscripts must not exceed 9 pages and should include the paper title, author(s), authors' affiliations, e-mail addresses, phone/fax numbers, postal address, and an abstract on the first page. Workshop proceedings will be published in ACM Digital Libraries. In addition, we are exploring the possibility of a journal special issue for selected papers.
Papers Due: Jun 02, 2012.
Notification of Acceptance: Jun 08, 2012.
Camera ready: Jun 13, 2012.
Workshop: Aug 12, 2012.
Ashok Srivastava, NASA Ames Research Center, USA
Hillol Kargupta, University of Maryland, Baltimore County, USA
Ian Davidson, University of California at Davis, USA
Ralf Birken, Northeastern University, USA
Debasish Das, Northeastern University
Auroop R. Ganguly, Northeastern University
Varun Chandola, Oak Ridge National Laboratory
Nitesh Chawla, University of Notre Dame
Mohamed Gaber, University of Portsmouth, UK
Joao Gama, U. Porto, Portugal
Olufemi A. Omitaomu, Oak Ridge National Laboratory
Karsten Steinhaeuser, University of Minnesota
Ranga Raju Vatsavai, Oak Ridge National Laboratory