<s>
Rule	B-General_Concept
induction	I-General_Concept
is	O
an	O
area	O
of	O
machine	O
learning	O
in	O
which	O
formal	O
rules	O
are	O
extracted	O
from	O
a	O
set	O
of	O
observations	O
.	O
</s>
<s>
Data	B-Application
mining	I-Application
in	O
general	O
and	O
rule	B-General_Concept
induction	I-General_Concept
in	O
detail	O
are	O
trying	O
to	O
create	O
algorithms	O
without	O
human	O
programming	O
but	O
with	O
analyzing	O
existing	O
data	O
structures	O
.	O
</s>
<s>
In	O
the	O
easiest	O
case	O
,	O
a	O
rule	O
is	O
expressed	O
with	O
“	O
if-then	O
statements	O
”	O
and	O
was	O
created	O
with	O
the	O
ID3	B-Algorithm
algorithm	I-Algorithm
for	O
decision	O
tree	O
learning	O
.	O
</s>
<s>
Rule	B-General_Concept
learning	I-General_Concept
algorithm	O
are	O
taking	O
training	O
data	O
as	O
input	O
and	O
creating	O
rules	O
by	O
partitioning	O
the	O
table	O
with	O
cluster	B-Algorithm
analysis	I-Algorithm
.	O
</s>
<s>
A	O
possible	O
alternative	O
over	O
the	O
ID3	B-Algorithm
algorithm	I-Algorithm
is	O
genetic	O
programming	O
which	O
evolves	O
a	O
program	O
until	O
it	O
fits	O
to	O
the	O
data	O
.	O
</s>
<s>
Additional	O
tools	O
are	O
machine	O
learning	O
libraries	O
for	O
Python	O
,	O
like	O
scikit-learn	B-Application
.	O
</s>
<s>
Some	O
major	O
rule	B-General_Concept
induction	I-General_Concept
paradigms	O
are	O
:	O
</s>
<s>
Some	O
rule	B-General_Concept
induction	I-General_Concept
algorithms	O
are	O
:	O
</s>
