Commit 2b07df3b authored by Vincent Mazenod's avatar Vincent Mazenod
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<title>MOBI-PALEO | Modélisation de la biodiversité à partir des études paléoécologiques et écologiques</title>
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<h1 id="site-title">
<span style="border-bottom:4px solid #000">
<center> <a href="#menu-mon-menu" title="MOBI-PALEO" rel="home">MOBI-PALEO Tutorial</a> </center>
<!-- <p >Modélisation de la biodiversité à partir des études paléoécologiques et écologiques </p> -->
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<!-- <h2 class="entry-title">Accueil</h2> -->
<div class="entry-content">
<p style="text-align: justify;"><span style="color: #000000;"> Mobipaleo is a tool that allows to extract frequent complex co-variations of the form "plus/minus a1, ..., plus/minus an" between numerical attributes in a database. These co-variations of attributes called "gradient patterns" play a key role in many real-world applications where the volume of digital data to be managed is large, such as ecological, biological or medical data. </span></p>
<h2 class="entry-title">The Use of MOBI-PALEO</h2>
<p style="text-align: justify;"><span style="color: #000000;"> To use MOBI-PALEO, you must first register before logging in. Once logged in, you can submit a task via an available form.
Three parameters must be provided:
<ul>
<li> <B> Task name:</B> the name of the task to be executed. </li>
<li> <B>Task file:</B> your dataset. </li>
<li> <B>Task frequency:</B> the minimum support (frequency) threshold. </li>
</ul>
</span> </p>
<p style="text-align: center;">&nbsp;</p>
<h2 class="entry-title">Task file</h2>
<p style="text-align: justify;"><span style="color: #000000;"> The dataset must be a simple text file with the extension .dat. The number of lines represents the total number of objects except for the first line which contains the names of the different attributes. The other lines give the values of each object on each attribute. Example
<table>
<caption> --file test.dat-- </caption>
<tr>
<th>&nbsp;a1&nbsp;</th>
<th>&nbsp;a2&nbsp;</th>
<th>&nbsp;a3&nbsp;</th>
</tr>
<tr>
<td>&nbsp;22&nbsp;</td>
<td>&nbsp;1200&nbsp;</td>
<td>&nbsp;4&nbsp;</td>
</tr>
<tr>
<td>&nbsp;24&nbsp;</td>
<td>&nbsp;2300&nbsp;</td>
<td>&nbsp;2&nbsp;</td>
</tr>
<tr>
<td>&nbsp;30&nbsp;</td>
<td>&nbsp;2700&nbsp;</td>
<td>&nbsp;3&nbsp;</td>
</tr>
<tr>
<td>&nbsp;28&nbsp;</td>
<td>&nbsp;3000&nbsp;</td>
<td>&nbsp;1&nbsp;</td>
</tr>
</table>
is a valid dataset with 3 attributes and 3 objects.
</span></p>
<h2 class="entry-title">The task frequency</h2>
<p style="text-align: justify;"><span style="color: #000000;"> The support (frequency) of a pattern indicates how important (its weight) is in the dataset. It is advisable to indicate a weak support to avoid extracting only generalities, then reduce the number of patterns in post-processing by filtering on the results.
</span></p>
<h2 class="entry-title">Output file</h2>
<p style="text-align: justify;"><span style="color: #000000;"> The result files (.csv) have the following format:
<ul>
<li> Each line is a frequent gradual pattern. A gradual pattern is frequent if its frequency is greater than or equal to the minimum support threshold provided by the user.</li>
<li>The frequency is displayed at the end of each line. </li>
</ul>
Example of a result file:
<table>
<caption> --file result.csv-- </caption>
<tr>
<td>&nbsp;a1+&nbsp;</td>
<td>&nbsp;a2+&nbsp;</td>
<td>&nbsp;3&nbsp;</td>
</tr>
<tr>
<td>&nbsp;a1+&nbsp;</td>
<td>&nbsp;a2+&nbsp;</td>
<td>&nbsp;a3+&nbsp;</td>
<td>&nbsp;2&nbsp;</td>
</tr>
<tr>
<td>&nbsp;a1+&nbsp;</td>
<td>&nbsp;a2+&nbsp;</td>
<td>&nbsp;a3-&nbsp;</td>
<td>&nbsp;3&nbsp;</td>
</tr>
<tr>
<td>&nbsp;a1+&nbsp;</td>
<td>&nbsp;a2-&nbsp;</td>
<td>&nbsp;a3+&nbsp;</td>
<td>&nbsp;2&nbsp;</td>
</tr>
<tr>
<td>&nbsp;a1+&nbsp;</td>
<td>&nbsp;a3+&nbsp;</td>
<td>&nbsp;2&nbsp;</td>
</tr>
<tr>
<td>&nbsp;a1+&nbsp;</td>
<td>&nbsp;a3-&nbsp;</td>
<td>&nbsp;3&nbsp;</td>
</tr>
</table>
The pattern "a1+ a2+ a3-" indicates that an increase in the values of attribute a1 comes with an increase in the values of attribute a2 and a decrease in the values of attribute a3. A frequency of 3 indicates that 3/4 of the objects in the dataset support this pattern.
</span></p>
<h2 class="entry-title"; style="text-align: center;">ILLUSTRATIONS</h2>
<p style="text-align: center;"><span style="color: #000000; align: center;">
<p style="text-align: center;">&nbsp;</p>
<center>
<ol>
<li>Submit a job</li>
</ol>
<img src="imagespostdoc/Submit_job_fully_illustrated.png" border="0" WIDTH=800 HEIGHT=400 />
<p style="text-align: center;">&nbsp;</p>
<ol>
<li>Retrieve the results of a job</li>
</ol>
<img src="imagespostdoc/retreive_fully.png" border="0" WIDTH=800 HEIGHT=400 />
<p style="text-align: center;">&nbsp;</p>
<ol>
<li>View, filter and save results</li>
</ol>
<img src="imagespostdoc/filter_result_fully.png" border="0" WIDTH=800 HEIGHT=400 />
</center>
</span></p>
<p style="text-align: center;">&nbsp;</p>
<p style="text-align: center;">&nbsp;</p>
<h2 class="entry-title"; style="text-align: center;">THE USE OF MOPPALEO ON A DATA BASE</h2>
<p style="text-align: center;"><span style="color: #000000; align: center;">
<p style="text-align: center;">&nbsp;</p>
<center>
<ul>
<li> Consider the following <B> bd1 </B> database containing 4 variables (x1, x2, x3, x3) : </li>
<table border=1>
<tr>
<th>&nbsp;x1&nbsp;</th>
<th>&nbsp;x2&nbsp;</th>
<th>&nbsp;x3&nbsp;</th>
<th>&nbsp;x4&nbsp;</th>
</tr>
<tr>
<td>&nbsp;84&nbsp;</td>
<td>&nbsp;17&nbsp;</td>
<td>&nbsp;1&nbsp;</td>
<td>&nbsp;0&nbsp;</td>
</tr>
<tr>
<td>&nbsp;116&nbsp;</td>
<td>&nbsp;49&nbsp;</td>
<td>&nbsp;11&nbsp;</td>
<td>&nbsp;31&nbsp;</td>
</tr>
<tr>
<td>&nbsp;90&nbsp;</td>
<td>&nbsp;34&nbsp;</td>
<td>&nbsp;5&nbsp;</td>
<td>&nbsp;13&nbsp;</td>
</tr>
<tr>
<td>&nbsp;124&nbsp;</td>
<td>&nbsp;52&nbsp;</td>
<td>&nbsp;12&nbsp;</td>
<td>&nbsp;36&nbsp;</td>
</tr>
<tr>
<td>&nbsp;102&nbsp;</td>
<td>&nbsp;36&nbsp;</td>
<td>&nbsp;7&nbsp;</td>
<td>&nbsp;17&nbsp;</td>
</tr>
<tr>
<td>&nbsp;135&nbsp;</td>
<td>&nbsp;61&nbsp;</td>
<td>&nbsp;18&nbsp;</td>
<td>&nbsp;62&nbsp;</td>
</tr>
<tr>
<td>&nbsp;106&nbsp;</td>
<td>&nbsp;40&nbsp;</td>
<td>&nbsp;9&nbsp;</td>
<td>&nbsp;18&nbsp;</td>
</tr>
</table>
<p style="text-align: center;">&nbsp;</p>
<li> Use <B> Mobipaleo </B> to extract frequent closed gradient patterns from the <B> bd1 </B> database with a minimum frequency threshold equal to <B> 2 </B>
<ol>
<li> Submit the <B> bd1 </B> database </li>
<img src="imagespostdoc/Submit_job_example-bd1-2.png" border="0" WIDTH=800 HEIGHT=400 />
<p style="text-align: center;">&nbsp;</p>
<li> Retrieve results </li>
<img src="imagespostdoc/retrieve_job_example-bd1-2.png" border="0" WIDTH=800 HEIGHT=200 />
<p style="text-align: center;">&nbsp;</p>
<li> View the results </li>
<img src="imagespostdoc/View-results-example-bd1-2.png" border="0" WIDTH=1000 HEIGHT=400 />
<p style="text-align: center;">&nbsp;</p>
<li> Filter out results that do not contain the variable x3 </li>
<img src="imagespostdoc/Uncheck-results-example-bd1-2-uncheck.png" border="0" WIDTH=1000 HEIGHT=400 />
<p style="text-align: center;">&nbsp;</p>
</ol>
</li>
</ul>
</center>
</span></p>
<p style="text-align: center;"><span style="color: #000000;"><br />
</span></p>
<p style="text-align: center;"><span style="color: #00FF40; font-style: oblique;font-weight: 700;"> <a href="https://mobipaleo.limos.fr/">Return to Mobipaleo tool</a></span></p>
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