SSTDM 2008

SSTDM 2008
International Workshop on Spatial and Spatiotemporal Data Mining
Dates	Dec 15, 2008 (iCal) - Dec 15, 2008
Homepage:	www.ornl.gov/sci/knowledgediscovery/sstdm-08
Location
Location:	Pisa, Italy
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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 
 

	

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