Information Technology Reference
In-Depth Information
base for a set of rules that describes the profile of a customer who has a preference for
a certain product. The shop assistant can use this classification knowledge to identify
a customer as a potential buyer.
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<title>welcome to the homepage of Petra Perner</title>
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Welcome to the homepage of Petra Perner</b><br></font></br></br>
<font face="Arial,Helvetica,Geneva" size="3"
color="#666699">Industrial Conference Data Mining 24.7.-25.7.2001
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In connection with MLDM2001 there will be held an industrial
conference on Data Mining.</br></br>
Please visit our website http://www.data-mining-forum.de for more
information.</br></br>
List of Accepted Papers for MLDM is now available. Information on
MLDM2001 you can find on this site under the link MLDM2001</br>
</br>
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Fig. 3. Example of an Html-Document
Fig. 3. Example of an Html-Document
Data Mining Method
Prediction
Knowledge Discovery
Classification
Regression
Deviation
Detection
Clustering
Association
Rules
Visualization
Fig. 4. Types of Data Mining Methods
 
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