<s>
SEMMA	B-Algorithm
is	O
an	O
acronym	O
that	O
stands	O
for	O
Sample	O
,	O
Explore	O
,	O
Modify	O
,	O
Model	O
,	O
and	O
Assess	O
.	O
</s>
<s>
It	O
is	O
a	O
list	O
of	O
sequential	O
steps	O
developed	O
by	O
SAS	O
Institute	O
,	O
one	O
of	O
the	O
largest	O
producers	O
of	O
statistics	O
and	O
business	B-General_Concept
intelligence	I-General_Concept
software	O
.	O
</s>
<s>
It	O
guides	O
the	O
implementation	O
of	O
data	B-Application
mining	I-Application
applications	O
.	O
</s>
<s>
Although	O
SEMMA	B-Algorithm
is	O
often	O
considered	O
to	O
be	O
a	O
general	O
data	B-Application
mining	I-Application
methodology	O
,	O
SAS	O
claims	O
that	O
it	O
is	O
"	O
rather	O
a	O
logical	O
organization	O
of	O
the	O
functional	O
tool	O
set	O
of	O
"	O
one	O
of	O
their	O
products	O
,	O
SAS	O
Enterprise	O
Miner	O
,	O
"	O
for	O
carrying	O
out	O
the	O
core	O
tasks	O
of	O
data	B-Application
mining	I-Application
"	O
.	O
</s>
<s>
In	O
the	O
expanding	O
field	O
of	O
data	B-Application
mining	I-Application
,	O
there	O
has	O
been	O
a	O
call	O
for	O
a	O
standard	O
methodology	O
or	O
a	O
simple	O
list	O
of	O
best	O
practices	O
for	O
the	O
diversified	O
and	O
iterative	O
process	O
of	O
data	B-Application
mining	I-Application
that	O
users	O
can	O
apply	O
to	O
their	O
data	B-Application
mining	I-Application
projects	O
regardless	O
of	O
industry	O
.	O
</s>
<s>
While	O
the	O
Cross	B-Algorithm
Industry	I-Algorithm
Standard	I-Algorithm
Process	I-Algorithm
for	I-Algorithm
Data	I-Algorithm
Mining	I-Algorithm
or	O
CRISP-DM	B-Algorithm
,	O
founded	O
by	O
the	O
European	O
Strategic	O
Program	O
on	O
Research	O
in	O
Information	O
Technology	O
initiative	O
,	O
aimed	O
to	O
create	O
a	O
neutral	O
methodology	O
,	O
SAS	O
also	O
offered	O
a	O
pattern	O
to	O
follow	O
in	O
its	O
data	B-Application
mining	I-Application
tools	O
.	O
</s>
<s>
The	O
phases	O
of	O
SEMMA	B-Algorithm
and	O
related	O
tasks	O
are	O
the	O
following	O
:	O
</s>
<s>
This	O
phase	O
covers	O
the	O
understanding	O
of	O
the	O
data	O
by	O
discovering	O
anticipated	O
and	O
unanticipated	O
relationships	O
between	O
the	O
variables	O
,	O
and	O
also	O
abnormalities	O
,	O
with	O
the	O
help	O
of	O
data	B-Application
visualization	I-Application
.	O
</s>
<s>
In	O
the	O
Model	O
phase	O
the	O
focus	O
is	O
on	O
applying	O
various	O
modeling	O
(	O
data	B-Application
mining	I-Application
)	O
techniques	O
on	O
the	O
prepared	O
variables	O
in	O
order	O
to	O
create	O
models	O
that	O
possibly	O
provide	O
the	O
desired	O
outcome	O
.	O
</s>
<s>
SEMMA	B-Algorithm
mainly	O
focuses	O
on	O
the	O
modeling	O
tasks	O
of	O
data	B-Application
mining	I-Application
projects	O
,	O
leaving	O
the	O
business	O
aspects	O
out	O
(	O
unlike	O
,	O
e.g.	O
,	O
CRISP-DM	B-Algorithm
and	O
its	O
Business	O
Understanding	O
phase	O
)	O
.	O
</s>
<s>
Additionally	O
,	O
SEMMA	B-Algorithm
is	O
designed	O
to	O
help	O
the	O
users	O
of	O
the	O
SAS	O
Enterprise	O
Miner	O
software	O
.	O
</s>
<s>
However	O
,	O
in	O
order	O
to	O
complete	O
the	O
"	O
Sampling	O
"	O
phase	O
of	O
SEMMA	B-Algorithm
a	O
deep	O
understanding	O
of	O
the	O
business	O
aspects	O
would	O
have	O
to	O
be	O
a	O
requirement	O
in	O
order	O
to	O
do	O
effective	O
sampling	O
.	O
</s>
