---------------------------------------------------------------------------
    2007 International Workshop on Spatial and Spatio-Temporal Data Mining
                            http://spatial.nvc.cs.vt.edu/sstdm07
                                         Call for Papers
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                                        October 28, 2007
                                        Omaha, NE, USA
                         In cooperation with  IEEE ICDM 2007

Widespread use of sensor networks and location aware devices has resulted
 in large amounts of spatial and spatio-temporal datasets in a variety of 
domains. The number and size of these datasets continues to increase 
rapidly, making their manual processing impossible.  It is therefore, 
imperative that efficient and effective techniques are developed to 
extract useful information from these datasets.  Traditional data mining
 techniques are ineffective in the spatial domain since they don��t 
incorporate the special features of the spatial domain, e.g. spatial
 autocorrelation.  The goal of the workshop is to bring together 
researchers, developers and practitioners in the field of spatial and 
spatio-temporal data mining together in order to identify current research
 foci, vital areas of need, and critical points of synergy. Selected 
papers will appear in the GeoInformatica journal as a special issue.


TOPICS OF INTEREST

Topics of interest include but are not limited to:
o Theoretical foundations of spatial and spatio-temporal data mining
o Novel techniques for spatial and spatio-temporal data mining
o Role of uncertainty in spatial and spatio-temporal data mining
o Visualization techniques for spatial and spatio-temporal data mining results
o Languages and primitives for data mining 
o Web mining techniques for spatial and spatio-temporal data
o Spatial and spatio-temporal data mining at multiple resolutions
o Scalable techniques for spatial data mining
o Applications and case studies in spatial and spatio-temporal data mining
o Data mining techniques for dynamic spatial and spatio-temporal data
o Role of spatial analysis in spatial and spatio-temporal data mining
o Data structures and indexing methods for spatio-temporal data mining
o Data mining from unstructured spatial and spatio-temporal data

PAPER SUBMISSION

This is an open call-for-papers. Only original, high-quality papers, in-line 
with 
the ICDM��07 standard guidelines, will be considered for this workshop. 
The manuscript should not exceed 6 single-spaced, double-column pages, 
including figures and tables. The font size should be at least 10 point. The 
submission paper should be in PDF file format. Prospective authors should 
submit electronically their contributions at the following website: 
http://wi-lab.com/cyberchair/icdm07/scripts/ws_submit.php


This is an open call-for-papers. Only original, high-quality papers, in-line 
with the ICDM��07 standard guidelines, will be considered for this workshop. 
Prospective authors should submit electronically their contributions at the 
following website: http://wi-lab.com/cyberchair/icdm07/scripts/ws_submit.php

IMPORTANT DATES

Submission deadline:            July 6, 2007
Notification of acceptance:     August 6, 2007
Camera-ready version:           August 17, 2007
Workshop date:          October 28, 2007

ORGANIZATION COMMITTEE

Ashok Samal 
University of Nebraska, Lincoln, NE, USA, [EMAIL PROTECTED]

Chang-Tien Lu 
Virginia Tech, Falls Church, VA, USA, [EMAIL PROTECTED]

Shashi Shekhar 
University of Minnesota, Minneapolis, MN, USA, [EMAIL PROTECTED]

Attachment: SSTDMCFP3.pdf
Description: Adobe PDF document

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