SSTDM 2008
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International Workshop on Spatial and Spatiotemporal Data Mining
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| Dates | 2008-12-15 (iCal) - 2008-12-15 |
| Homepage: | www.ornl.gov/sci/knowledgediscovery/sstdm-08 |
| Location | |
| Location: | IT/52/Pisa, IT/52, IT |
| Important dates | |
| Submissions: | Aug 1, 2008 |
| Notification: | Sep 15, 2008 |
| Table of Contents | |
International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM-08)
In Cooperation with IEEE ICDM 2008, 15 December 2008, Pisa, Italy
http://www.ornl.gov/sci/knowledgediscovery/sstdm-08/
Call For Papers
Important Deadlines
Paper Submission
August 01, 2008
Acceptance Notice
Sept. 15, 2008
Camera-Ready Copy
Oct. 07, 2008
Synopsis: With advances in remote sensors, sensor networks, and the proliferation of location sensing devices in daily life activities and common business practices, the generation of disparate, dynamic, and geographically distributed spatiotemporal data has exploded in recent years. In addition, significant progress in ground, air- and space-borne sensor technologies has led to an unprecedented access to earth science data for scientists from different disciplines, interested in studying the complementary nature of different parameters. These developments are quickly leading towards a data-rich but information-poor environment. The rate at which geospatial data are being generated clearly exceeds our ability to organize and analyze them to extract patterns critical for understanding in a timely manner a dynamically changing world. Computer science and geoinformatics are collaborating in order to address these scientific and computational challenges and provide innovative and effective solutions.
More specifically, efficient and reliable data mining techniques are needed for extracting useful geoinformation from large heterogeneous, often multi-modal spatiotemporal datasets. Traditional data mining techniques are ineffective as they do not incorporate the idiosyncrasies of the spatial domain, which include (but are not limited to) spatial autocorrelation, spatial context, and spatial constraints. Extracting useful geoinformation from several terabytes of streaming multi-modal data per day also demands the use of modern computing in all its forms. Thus, we invite computer science and geoinformatics researchers to participate in this event in order to share, contribute, and discuss the emerging challenges in spatial and spatiotemporal data mining.
Topics: The major topics of interest to the workshop include but are not limited to:
Theoretical foundations of spatial and spatiotemporal data mining
Spatial and spatiotemporal analogues of interesting patterns: frequent itemsets, clusters,outliers, and the algorithms to mine them
Spatial classification: methods that explicitly model spatial context
Spatial and spatiotemporal autocorrelation and heterogeneity, its quantification and
efficient incorporation into the data mining algorithms
Image (multispectral, hyperspectral, aerial, radar) information mining, change detection
Role of uncertainty in spatial and spatiotemporal data mining
Integrated approaches to multi-source and multimodal data mining
Resource-aware techniques to mine streaming spatiotemporal data
Spatial and spatiotemporal data mining at multiple granularities (space and time)
Data structures and indexing methods for spatiotemporal data mining
Spatial and Spatiotemporal online analytical processing, data warehousing
Geospatial Intelligence
Climate Change, Natural Hazards, Critical Infrastructures
Applications that demonstrate success stories of spatial and spatiotemporal data mining
Paper Submission: This is an open call-for-papers. Only original, high-quality papers, in-line with the ICDM 2008 standard guidelines, will be considered for this workshop. Submission instructions will be posted on the workshop web site.
Proceedings: Accepted papers will be included in a ICDM Workshop Proceedings volume, to be published by IEEE Computer Society Press, which will also be included in the IEEE Digital Library. In addition, selected papers are going to be included in a planned journal special issue.
Organizing Committee:
General Chairs
Shashi Shekar, University of Minnesota
Peggy Agouris, George Mason University
Proceedings and Publicity Chairs
Jin Soung Yoo, Indiana University Purdue University
Carlotta Domeniconi, George Mason University
Program Chairs
Jessica Lin, George Mason University
Guido Cervone, George Mason University
Ranga Raju Vatsavai, Oak Ridge National Laboratory
Industrial Chair
Budhendra Bhaduri, Oak Ridge National Laboratory
Local Chair
Chiara Renso, KDDLAB - ISTI CNR
Program Committee: (To be confirmed soon)
Maurizio Atzori, KDDLAB ISTI/CNR, Italy
Miriam Baglioni, University of Pisa, Italy
Daniel Barbara, George Mason University
Peter Baumann, Jacobs University Bremen, Germany
Vania Bogorny, Universidade Federal do Rio Grande do Sul, Brasil
Sanjay Chawla, University of Sydney, Australia
Reynold Cheng, Hong Kong Polytechnic University
Arie Croitoru, The University of Alberta, Canada
Ken Deng , The University of Queensland, Canada
Matt Duckham, University of Melbourne, Australia
Luca Delle Monache, Lawrence Livermore Laboratory, USA
Wei Ding, University of Houston-Clear Lake, USA
Pasquale Franzese, George Mason University, USA
Dimitris Gunopulos, University of California, Riverside, USA
Auroop Ganguly, Oak Ridge National Laboratory, USA
Angelica Garcia Gutierrez, Jacobs University Bremen, Germany
Vana Kalogeraki, University of California, Riverside, USA
Panos Kalnis, National University of Singapore
Chandrika Kamath, Lawrence Livermore National Laboratory, USA
Eamonn Keogh, University of California, Riverside, USA
Vipin Kumar, University of Minnesota, USA
Andreas Lattner, Frankfurt University, Germany
Ki-Joune Li, Pusan National University, Korea
Giuseppe Manco, ICAR-CNR Cosenza, Italy
Amy McGovern, University of Oklahoma, USA
Mohamed Mokbel, University of Minnesota, U.S.A.
Dimitar Ouzounov, NASA, USA
Liviu Panait, Google Inc, USA
Dimitris Papadias, Hong Kong University of Science and Technology, China
Chotirat Ann Ratanamahatana, Chulalongkorn University, Thailand
Chinya V. Ravishankar, UC Riverside, U.S.A.
Alessandra Rafaeta, Venezia University, Italy
Falko Schmid, Cognitive Systems, Universitt Bremen, Germany
Anthony Stefanidis, George Mason University, USA
Cyrus Shahabi, University of Southern California, U.S.A.
Michail Vlachos, IBM Research, U.S.A.
Monica Wachowicz, Wagheningen University, The Netherlands
Best Paper Award: Sponsored by the Oak Ridge National Laboratory
This CfP was obtained from WikiCFP