SSTDM 2008

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