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The Adaptive Webbrowser: Data Design
| Name |
The Adaptive Webbrowser: Data Design |
| Description |
The available
data consists of HTML files the user visited in
the past. These files contains two kinds of
features: HTML markup tags and actual text.
Let's take a look at the HTML code from a page of
this website. In black are the HTML tags, in red
the actual text is shown.<html>
<head>
<title>The Application Guide
On Machine Learning</title>
</head>
<body bgcolor="#808080">
<table border="0"
cellpadding="0"
cellspacing="0"
width="100%">
<tr>
<td bgcolor="#000000"><table
border="0" cellpadding="10"
cellspacing="0">
<tr>
<td><font color="#FFFFFF"
face="Arial"><strong>The
Application Guide on Machine
Learning</strong></font></td>
</tr>
</table>
</td>
<td align="right"
bgcolor="#000000"><img
src="../Images/MLAGlogo.jpg"
width="173"
height="41"></td>
</tr>
<tr>
<td colspan="2"
bgcolor="#FFFFFF"><table
border="0"
cellpadding="10"
cellspacing="0">
<tr>
<td><font size="2"
face="Arial"><strong>Machine
Learning</strong></font><p><font
size="2"
face="Arial">The
term "Machine
Learning" suggests that the goal of
Machine
Learning is to build complete "learning
machines". Actually building a machine
that
only learns is not the goal of Machine Learning.
The main applications are in the construction of
systems that improve their behaviour on a
particular task and in data analysis or data
mining. Here we present the latter in the form of
elaborate case descriptions with explanations and
pointers to more detailed information. The
presentation requires basically no prior
knowledge about Machine Learning.</font></p>
<p><font size="2"
face="Arial"><strong>This
Machine Learning Application Guide</strong></font></p>
<p><font size="2"
face="Arial">This
Application
Guide on Machine Learning gives a first glance
into the world of Machine Learning, helps to
assess the potential for your problem, and gives
pointers to experts, tools and assistance. It is
organized to facilitate novices in the field of
Machine Learning. It informs you about ML
applications, and you learn to assess the
potential of ML technology for solving your
problems. </font></p>
<p><font size="2"
face="Arial"><strong>Navigating</strong></font></p>
<p><font size="2"
face="Arial">Use
the frame on
the left to select a topic. Start with one of the
cases for a detailed description of how Machine
Learning can be used for data mining. More
abstract and detailed information can be found in
The Process Model.</font></p>
<p><font size="2"
face="Arial"><strong>Keywords</strong>:
data mining, KDD, knowledge
discovery in
databases, data warehousing, machine learning
inductive methods, intelligent systems, data
analysis.<br>
<br>
</font></p>
</td>
</tr>
</table>
</td>
</tr>
</table>
<p> </p>
</body>
</html>
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| Case Study |
The Adaptive Webbrowser Case
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