<?xml version="1.0" encoding="utf-8" ?>
<rss version="2.0">
<channel>
<title>Books/Book chapters</title>
<copyright>Copyright (c) 2013 Dublin Institute of Technology All rights reserved.</copyright>
<link>http://arrow.dit.ie/dmcbk</link>
<description>Recent documents in Books/Book chapters</description>
<language>en-us</language>
<lastBuildDate>Wed, 15 May 2013 10:41:39 PDT</lastBuildDate>
<ttl>3600</ttl>








<item>
<title>Proceedings of the ICCBR 2009 Workshops</title>
<link>http://arrow.dit.ie/dmcbk/3</link>
<guid isPermaLink="true">http://arrow.dit.ie/dmcbk/3</guid>
<pubDate>Tue, 18 Jan 2011 10:29:18 PST</pubDate>
<description>
	<![CDATA[
	<p>In 2009 the workshop programme includes four workshops, two of which are workshops in well recognised CBR research areas continuing the well established,successful workshops on Case-Based Reasoning in the Health Sciences and on Uncertainty, Knowledge Discovery and Similarity. There are also two new workshops which explore developing areas of CBR research, namely Reasoning from Experiences on the Web (WebCBR) and Case-Based Reasoning for Computer Games.</p>

	]]>
</description>

<author>Sarah Jane Delany</author>


</item>






<item>
<title>Structural, Remote Sensing and Multivariate Correlation Methods as Aids to Mineral Exploration, Central Ireland</title>
<link>http://arrow.dit.ie/dmcbk/2</link>
<guid isPermaLink="true">http://arrow.dit.ie/dmcbk/2</guid>
<pubDate>Mon, 14 Dec 2009 08:57:13 PST</pubDate>
<description>
	<![CDATA[
	<p>This work discusses structural, remote sensing and multivariate correlation methods as aids to mineral exploration in West Central Ireland. The work was performed as part of the EU-funded CREST project.</p>

	]]>
</description>

<author>D.W. Coller et al.</author>


</item>






<item>
<title>A Web and Mobile System for Environmental Decision Support</title>
<link>http://arrow.dit.ie/dmcbk/1</link>
<guid isPermaLink="true">http://arrow.dit.ie/dmcbk/1</guid>
<pubDate>Tue, 08 Sep 2009 02:19:37 PDT</pubDate>
<description>
	<![CDATA[
	<p>Current field data collection methods for many of today’s scientific and other observer/monitor type applications are still entrenched in the “clipboard age”, requiring manual data transcription to a database management system at some (often much) later date, and only allows for visualisation and analysis of recently captured field data “back in the lab”. This chapter is targeted at progressing today’s pen & paper methodology into the spatially enabled mobile computing age of realtime multi-media data input, integration, visualisation, and analysis simultaneously both in the field and the lab. The system described is customized to the specific needs of the Canadian Great Lakes Laboratory for Fisheries and Aquatic Sciences Fish Habitat Management Group requirements for fish species at risk assessment, but is ready for adaptation to other environmental agency applications (e.g. forestry, health-pesticide monitoring, agriculture, etc.). The chapter is ideally suited to all agencies responsible for collecting field data of any type that have not yet moved to a state-of-the-art mobile and wireless data collection, visualisation, and analysis work methodology</p>

	]]>
</description>

<author>James Carswell et al.</author>


</item>





</channel>
</rss>
