<s>
In	O
business	B-General_Concept
intelligence	I-General_Concept
,	O
data	B-General_Concept
classification	I-General_Concept
has	O
close	O
ties	O
to	O
data	B-Algorithm
clustering	I-Algorithm
,	O
but	O
where	O
data	B-Algorithm
clustering	I-Algorithm
is	O
descriptive	O
,	O
data	B-General_Concept
classification	I-General_Concept
is	O
predictive	O
.	O
</s>
<s>
In	O
essence	O
data	B-General_Concept
classification	I-General_Concept
consists	O
of	O
using	O
variables	O
with	O
known	O
values	O
to	O
predict	O
the	O
unknown	O
or	O
future	O
values	O
of	O
other	O
variables	O
.	O
</s>
<s>
The	O
first	O
step	O
in	O
doing	O
a	O
data	B-General_Concept
classification	I-General_Concept
is	O
to	O
cluster	O
the	O
data	B-General_Concept
set	I-General_Concept
used	O
for	O
category	O
training	O
,	O
to	O
create	O
the	O
wanted	O
number	O
of	O
categories	O
.	O
</s>
<s>
Typical	O
examples	O
of	O
input	O
for	O
data	B-General_Concept
classification	I-General_Concept
could	O
be	O
variables	O
such	O
as	O
demographics	O
,	O
lifestyle	O
information	O
,	O
or	O
economical	O
behaviour	O
.	O
</s>
<s>
There	O
are	O
several	O
challenges	O
in	O
working	O
with	O
data	B-General_Concept
classification	I-General_Concept
.	O
</s>
