<s>
Cross-industry	B-Algorithm
standard	I-Algorithm
process	I-Algorithm
for	I-Algorithm
data	I-Algorithm
mining	I-Algorithm
,	O
known	O
as	O
CRISP-DM	B-Algorithm
,	O
is	O
an	O
open	O
standard	O
process	O
model	O
that	O
describes	O
common	O
approaches	O
used	O
by	O
data	B-Application
mining	I-Application
experts	O
.	O
</s>
<s>
In	O
2015	O
,	O
IBM	O
released	O
a	O
new	O
methodology	O
called	O
Analytics	O
Solutions	O
Unified	O
Method	O
for	O
Data	O
Mining/Predictive	O
Analytics	O
(	O
also	O
known	O
as	O
ASUM-DM	O
)	O
which	O
refines	O
and	O
extends	O
CRISP-DM	B-Algorithm
.	O
</s>
<s>
CRISP-DM	B-Algorithm
was	O
conceived	O
in	O
1996	O
and	O
became	O
a	O
European	O
Union	O
project	O
under	O
the	O
ESPRIT	O
funding	O
initiative	O
in	O
1997	O
.	O
</s>
<s>
The	O
computer	O
giant	O
NCR	O
Corporation	O
produced	O
the	O
Teradata	O
data	O
warehouse	O
and	O
its	O
own	O
data	B-Application
mining	I-Application
software	O
.	O
</s>
<s>
Daimler-Benz	O
had	O
a	O
significant	O
data	B-Application
mining	I-Application
team	O
.	O
</s>
<s>
OHRA	O
was	O
just	O
starting	O
to	O
explore	O
the	O
potential	O
use	O
of	O
data	B-Application
mining	I-Application
.	O
</s>
<s>
The	O
first	O
version	O
of	O
the	O
methodology	O
was	O
presented	O
at	O
the	O
4th	O
CRISP-DM	B-Algorithm
SIG	O
Workshop	O
in	O
Brussels	O
in	O
March	O
1999	O
,	O
and	O
published	O
as	O
a	O
step-by-step	O
data	B-Application
mining	I-Application
guide	O
later	O
that	O
year	O
.	O
</s>
<s>
Between	O
2006	O
and	O
2008	O
,	O
a	O
CRISP-DM	B-Algorithm
2.0	O
SIG	O
was	O
formed	O
and	O
there	O
were	O
discussions	O
about	O
updating	O
the	O
CRISP-DM	B-Algorithm
process	O
model	O
.	O
</s>
<s>
However	O
,	O
the	O
original	O
crisp-dm.org	O
website	O
cited	O
in	O
the	O
reviews	O
,	O
and	O
the	O
CRISP-DM	B-Algorithm
2.0	O
SIG	O
website	O
are	O
both	O
no	O
longer	O
active	O
.	O
</s>
<s>
While	O
many	O
non-IBM	O
data	B-Application
mining	I-Application
practitioners	O
use	O
CRISP-DM	B-Algorithm
,	O
IBM	O
is	O
the	O
primary	O
corporation	O
that	O
currently	O
uses	O
the	O
CRISP-DM	B-Algorithm
process	O
model	O
.	O
</s>
<s>
It	O
makes	O
some	O
of	O
the	O
old	O
CRISP-DM	B-Algorithm
documents	O
available	O
for	O
download	O
and	O
it	O
has	O
incorporated	O
it	O
into	O
its	O
SPSS	B-Algorithm
Modeler	I-Algorithm
product	O
.	O
</s>
<s>
Based	O
on	O
current	O
research	O
,	O
CRISP-DM	B-Algorithm
is	O
the	O
most	O
widely	O
used	O
form	O
of	O
data-mining	B-Application
model	O
because	O
of	O
its	O
various	O
advantages	O
which	O
solved	O
the	O
existing	O
problems	O
in	O
the	O
data	B-Application
mining	I-Application
industries	O
.	O
</s>
<s>
The	O
success	O
of	O
CRISP-DM	B-Algorithm
is	O
largely	O
attributable	O
to	O
that	O
fact	O
that	O
it	O
is	O
industry	O
,	O
tool	O
,	O
and	O
application	O
neutral	O
.	O
</s>
<s>
CRISP-DM	B-Algorithm
breaks	O
the	O
process	O
of	O
data	B-Application
mining	I-Application
into	O
six	O
major	O
phases	O
:	O
</s>
<s>
The	O
outer	O
circle	O
in	O
the	O
diagram	O
symbolizes	O
the	O
cyclic	O
nature	O
of	O
data	B-Application
mining	I-Application
itself	O
.	O
</s>
<s>
A	O
data	B-Application
mining	I-Application
process	O
continues	O
after	O
a	O
solution	O
has	O
been	O
deployed	O
.	O
</s>
<s>
The	O
lessons	O
learned	O
during	O
the	O
process	O
can	O
trigger	O
new	O
,	O
often	O
more	O
focused	O
business	O
questions	O
,	O
and	O
subsequent	O
data	B-Application
mining	I-Application
processes	O
will	O
benefit	O
from	O
the	O
experiences	O
of	O
previous	O
ones	O
.	O
</s>
<s>
Polls	O
conducted	O
at	O
the	O
same	O
website	O
(	O
KDNuggets	O
)	O
in	O
2002	O
,	O
2004	O
,	O
2007	O
,	O
and	O
2014	O
show	O
that	O
it	O
was	O
the	O
leading	O
methodology	O
used	O
by	O
industry	O
data	B-Application
miners	I-Application
who	O
decided	O
to	O
respond	O
to	O
the	O
survey	O
.	O
</s>
<s>
The	O
only	O
other	O
data	B-Application
mining	I-Application
approach	O
named	O
in	O
these	O
polls	O
was	O
SEMMA	B-Algorithm
.	O
</s>
<s>
However	O
,	O
SAS	O
Institute	O
clearly	O
states	O
that	O
SEMMA	B-Algorithm
is	O
not	O
a	O
data	B-Application
mining	I-Application
methodology	O
,	O
but	O
rather	O
a	O
"	O
logical	O
organization	O
of	O
the	O
functional	O
toolset	O
of	O
SAS	O
Enterprise	O
Miner.	O
"	O
</s>
<s>
A	O
review	O
and	O
critique	O
of	O
data	B-Application
mining	I-Application
process	O
models	O
in	O
2009	O
called	O
the	O
CRISP-DM	B-Algorithm
the	O
"	O
de	O
facto	O
standard	O
for	O
developing	O
data	B-Application
mining	I-Application
and	O
knowledge	O
discovery	O
projects.	O
"	O
</s>
<s>
Other	O
reviews	O
of	O
CRISP-DM	B-Algorithm
and	O
data	B-Application
mining	I-Application
process	O
models	O
include	O
Kurgan	O
and	O
Musilek	O
's	O
2006	O
review	O
,	O
and	O
Azevedo	O
and	O
Santos	O
 '	O
2008	O
comparison	O
of	O
CRISP-DM	B-Algorithm
and	O
SEMMA	B-Algorithm
.	O
</s>
<s>
Efforts	O
to	O
update	O
the	O
methodology	O
started	O
in	O
2006	O
,	O
but	O
have	O
,	O
as	O
of	O
June	O
2015	O
,	O
not	O
led	O
to	O
a	O
new	O
version	O
,	O
and	O
the	O
"	O
Special	O
Interest	O
Group	O
"	O
(	O
SIG	O
)	O
responsible	O
along	O
with	O
the	O
website	O
has	O
long	O
disappeared	O
(	O
see	O
History	O
of	O
CRISP-DM	B-Algorithm
)	O
.	O
</s>
