I just receieved this from another geo-list and thought it might be of general interest here.<br>===<br><div><br>Workshop on Spatial and Spatio-Temporal Data Mining<br>INTERNATIONAL CONFERENCE on DATA MINING 2007 (ICDM??07)
<br><a href="http://spatial.nvc.cs.vt.edu/sstdm07" target="_blank" onclick="return top.js.OpenExtLink(window,event,this)">http://spatial.nvc.cs.vt.edu/sstdm07</a><br><br>Call for Papers<br>------------------------------------------
<br>October 28, 2007<br>Omaha, NE, USA<br><br>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
<br>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
<br>papers will appear in the GeoInformatica journal as a special issue.<br><br>TOPICS OF INTEREST<br><br>Topics of interest include but are not limited to:<br>o Theoretical foundations of
spatial and spatio-temporal data mining<br>o Novel techniques for spatial and spatio-temporal data mining<br>o Role of uncertainty in spatial and spatio-temporal data mining<br>o Visualization techniques for spatial and spatio-temporal data mining results
<br>o Languages and primitives for data mining<br>o Web mining techniques for spatial and spatio-temporal data<br>o Spatial and spatio-temporal data mining at multiple resolutions<br>o Scalable techniques for spatial data mining
<br>o
Applications and case studies in spatial and spatio-temporal data mining<br>o Data mining techniques for dynamic spatial and spatio-temporal data<br>o Role of spatial analysis in spatial and spatio-temporal data mining<br>
o Data structures and indexing methods for spatio-temporal data mining<br>o Data mining from unstructured spatial and spatio-temporal data<br><br>PAPER SUBMISSION<br><br>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.<br>Prospective authors should submit electronically their contributions at the following website: <a href="http://wi-lab.com/cyberchair/icdm07/scripts/ws_submit.php" target="_blank" onclick="return top.js.OpenExtLink(window,event,this)">
http://wi-lab.com/cyberchair/icdm07/scripts/ws_submit.php</a><br><br>IMPORTANT DATES<br><br>Submission deadline: June 22, 2007<br>Notification of acceptance: August 1, 2007<br>Camera-ready version: August 17, 2007<br>Workshop date: October 28, 2007
<br><br>ORGANIZATION COMMITTEE<br><br>Ashok Samal<br>University of Nebraska, Lincoln, NE, USA,
<a href="mailto:samal@cse.unl.edu" target="_blank" onclick="return top.js.OpenExtLink(window,event,this)">samal@cse.unl.edu</a><br>Chang-Tien Lu <br>Virginia Tech, Falls Church, VA, USA, <a href="mailto:ctlu@vt.edu" target="_blank" onclick="return top.js.OpenExtLink(window,event,this)">
ctlu@vt.edu</a><br>Shashi Shekhar<br>University of Minnesota, Minneapolis, MN, USA, <a href="mailto:shekhar@cs.umn.edu" target="_blank" onclick="return top.js.OpenExtLink(window,event,this)">shekhar@cs.umn.edu</a><br></div>
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