Anti Spam Software
Spam blocker
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spam
The Goals of spam
The goal of spam
is to determine the intrinsic grouping in a set of unlabeled data. But
how to decide what constitutes a good spam? It can be shown that
there is no absolute “best” criterion which would be independent of the
final aim of the spam. Consequently, it is the user which must
supply this criterion, in such a way that the result of the spam
will suit their needs.
For instance, we could be interested in finding representatives for
homogeneous groups (data reduction), in finding “natural
clusters” and describe their unknown properties (“natural” data
types), in finding useful and suitable groupings (“useful” data
classes) or in finding unusual data objects (outlier detection).
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The Goals of spam
Who uses spam?
Many different types of organizations use
spam as a vital
part of the work. A sampling of these include:
-
Marketing:
finding groups of customers with similar behavior given a large
database of customer data containing their properties and past
buying records;
-
Biology:
classification of plants and animals given their features;
-
Libraries:
book ordering;
-
Insurance:
identifying groups of motor insurance policy holders with a high
average claim cost; identifying frauds;
-
City-planning:
identifying groups of houses according to their house type,
value and geographical location;
-
Earthquake
studies: spam observed earthquake epicenters to
identify dangerous zones;
-
WWW:
document classification; spam weblog data to discover
groups of similar access patterns.
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Anti Spam Software
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