Sorry for any cross postings. <br><br>Please consider what is sure to be a dynamic and lively Session! Deadline for Abstracts is August 8th. <br> <br><div style="text-align:left"><b>Session Overview:</b></div><div style="text-align:left">
IN016: Data Prospecting, Exploration and Mining – "Big Data" Exploitation Challenges and Applications in Earth Science</div>
<div style="text-align:left"><br></div><div style="text-align:left">There
are typically two types of data analysis, namely, exploration and
mining. Data exploration focuses on manual methods where as Mining uses
automated algorithms to extract useful information. A new approach for
exploiting "big data" is now possible with the availability of high
performance computing and the advent of new techniques for efficient
distributed file access. This new approach coined as "data prospecting"
combines methods from both data exploration and mining. </div>
<div style="text-align:left"><br></div><div style="text-align:left"><i><b>This session invites talks focusing on applications, tools and challenges of exploiting "big data" using different approaches</b></i></div>
<div style="text-align:left"><br></div><div style="text-align:left"><b>Link:</b></div><div style="text-align:left"><a href="http://fallmeeting.agu.org/2012/session-search/single/data-prospecting-exploration-and-mining-big-data-exploitation-challenges-and-applications-in-earth-science/" target="_blank">http://fallmeeting.agu.org/2012/session-search/single/data-prospecting-exploration-and-mining-big-data-exploitation-challenges-and-applications-in-earth-science/</a></div>
<br clear="all"><h3 style="border-bottom-style:none;line-height:19px;padding-top:0.5em;font-size:17px;width:auto;overflow:hidden;font-family:sans-serif;margin:0px 0px 0.3em;padding-bottom:0.17em;background-image:none"><font style="font-family:arial,helvetica,sans-serif" size="2"><b>Session Details:</b></font><br>
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<span>Data Prospecting, Exploration and Mining – “big data” exploitation challenges and applications in Earth Science</span></h3>
<p style="line-height:19px;font-size:13px;font-family:sans-serif;margin:0.4em 0px 0.5em">There
are typically two categories of data analysis, namely, data exploration
and data mining. Data exploration focuses on manual methods brought to
bear on data analysis such as standard statistical analysis and
visualization. Data exploration usually requires small datasets. Data
mining, on the other hand, is defined as "the nontrivial extraction of
implicit, previously unknown, and potentially useful information from
data" (Fayyad et al, 2008). Data Mining uses automated algorithms to
extract useful information. Humans guide these automated algorithms and
specify algorithm parameters (training samples, clustering size, etc.).
Large datasets typically require data mining.</p>
<p style="line-height:19px;font-size:13px;font-family:sans-serif;margin:0.4em 0px 0.5em">A
new approach for exploiting "big data" is now possible with the
availability of high performance computing and the advent of new
techniques for efficient distributed file access. This new approach
coined as “data prospecting” combines methods from both data exploration
and mining. Just as prospecting focuses on locating the site within the
vast land and determining the type of deposit that is located at that
site. Data prospecting focuses on finding the right subset of data
amongst all the data files and determining the value of the information
contained within the subset. Papers on Web-initiated high-volume
computational intensive data analysis capabilities on distributed
peta-scale data archives extracting information at the source are also
being sought. Such papers may include non-linear dynamics in search of
signals within climate archives.</p>
<p style="line-height:19px;font-size:13px;font-family:sans-serif;margin:0.4em 0px 0.5em">This
session invites talks focusing on applications and challenges of
exploiting “big data” using different data exploration, prospecting and
mining approaches. Talks on tools addressing any of these topics are
also welcome.</p>
<p style="line-height:19px;font-size:13px;font-family:sans-serif;margin:0.4em 0px 0.5em">Name/Contacts - Rahul Ramachandran (<a href="mailto:rahul.ramachandran@uah.edu" target="_blank"><span class="il">rahul.ramachandran@uah.edu</span></a>), Sara Graves, Glenn K. Rutledge (<a href="mailto:glenn.rutledge@noaa.gov" target="_blank">glenn.rutledge@noaa.gov</a>), and Kwo-sen Kuo</p>
<br>-- <br><div>Glenn K. Rutledge<br>Meteorologist/Physical Scientist</div>
<div>NOMADS Team Leader</div>
<div>National Climatic Data Center</div>
<div>Asheville, NC 28801</div>
<div><a href="tel:%28828%29%20271-4097" value="+18282714097" target="_blank">(828) 271-4097</a></div>
<div><a href="http://nomads.ncdc.noaa.gov" target="_blank">nomads.ncdc.noaa.gov</a></div><br>