Data mining methods
up vote
-3
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I would like to know which data mining methods (regression, assosiation, clustring or classification) I have to use in case if I would like to find the highest number of reviews among several apps categories.
Thanks in advance for any support.
classification regression analytics data-mining
add a comment |
up vote
-3
down vote
favorite
I would like to know which data mining methods (regression, assosiation, clustring or classification) I have to use in case if I would like to find the highest number of reviews among several apps categories.
Thanks in advance for any support.
classification regression analytics data-mining
This question will not merit any reasonable answer as it's unclear. Please clarify.
– cph_sto
Nov 21 at 22:53
If you wish to classify reviews as those expressing positive/negative sentiment, then you need to treat it is aClassification
problem, which is part ofsupervised
learning.Regression
/Random Forest
/neural networks
etc are just tools to solve theseclassification
/clustering
class of problems. You are confusing the two things. First, you need to determine as to what your objective is and then phrase a proper statement as to what you need.
– cph_sto
Nov 21 at 23:00
add a comment |
up vote
-3
down vote
favorite
up vote
-3
down vote
favorite
I would like to know which data mining methods (regression, assosiation, clustring or classification) I have to use in case if I would like to find the highest number of reviews among several apps categories.
Thanks in advance for any support.
classification regression analytics data-mining
I would like to know which data mining methods (regression, assosiation, clustring or classification) I have to use in case if I would like to find the highest number of reviews among several apps categories.
Thanks in advance for any support.
classification regression analytics data-mining
classification regression analytics data-mining
edited Nov 21 at 22:27
cricket_007
77.8k1142108
77.8k1142108
asked Nov 21 at 14:53
Hatim TM
31
31
This question will not merit any reasonable answer as it's unclear. Please clarify.
– cph_sto
Nov 21 at 22:53
If you wish to classify reviews as those expressing positive/negative sentiment, then you need to treat it is aClassification
problem, which is part ofsupervised
learning.Regression
/Random Forest
/neural networks
etc are just tools to solve theseclassification
/clustering
class of problems. You are confusing the two things. First, you need to determine as to what your objective is and then phrase a proper statement as to what you need.
– cph_sto
Nov 21 at 23:00
add a comment |
This question will not merit any reasonable answer as it's unclear. Please clarify.
– cph_sto
Nov 21 at 22:53
If you wish to classify reviews as those expressing positive/negative sentiment, then you need to treat it is aClassification
problem, which is part ofsupervised
learning.Regression
/Random Forest
/neural networks
etc are just tools to solve theseclassification
/clustering
class of problems. You are confusing the two things. First, you need to determine as to what your objective is and then phrase a proper statement as to what you need.
– cph_sto
Nov 21 at 23:00
This question will not merit any reasonable answer as it's unclear. Please clarify.
– cph_sto
Nov 21 at 22:53
This question will not merit any reasonable answer as it's unclear. Please clarify.
– cph_sto
Nov 21 at 22:53
If you wish to classify reviews as those expressing positive/negative sentiment, then you need to treat it is a
Classification
problem, which is part of supervised
learning. Regression
/ Random Forest
/ neural networks
etc are just tools to solve these classification
/clustering
class of problems. You are confusing the two things. First, you need to determine as to what your objective is and then phrase a proper statement as to what you need.– cph_sto
Nov 21 at 23:00
If you wish to classify reviews as those expressing positive/negative sentiment, then you need to treat it is a
Classification
problem, which is part of supervised
learning. Regression
/ Random Forest
/ neural networks
etc are just tools to solve these classification
/clustering
class of problems. You are confusing the two things. First, you need to determine as to what your objective is and then phrase a proper statement as to what you need.– cph_sto
Nov 21 at 23:00
add a comment |
1 Answer
1
active
oldest
votes
up vote
1
down vote
None.
Finding the maximum is not data mining. It's a simple for loop.
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
None.
Finding the maximum is not data mining. It's a simple for loop.
add a comment |
up vote
1
down vote
None.
Finding the maximum is not data mining. It's a simple for loop.
add a comment |
up vote
1
down vote
up vote
1
down vote
None.
Finding the maximum is not data mining. It's a simple for loop.
None.
Finding the maximum is not data mining. It's a simple for loop.
answered Nov 22 at 20:41
Anony-Mousse
56.7k796158
56.7k796158
add a comment |
add a comment |
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This question will not merit any reasonable answer as it's unclear. Please clarify.
– cph_sto
Nov 21 at 22:53
If you wish to classify reviews as those expressing positive/negative sentiment, then you need to treat it is a
Classification
problem, which is part ofsupervised
learning.Regression
/Random Forest
/neural networks
etc are just tools to solve theseclassification
/clustering
class of problems. You are confusing the two things. First, you need to determine as to what your objective is and then phrase a proper statement as to what you need.– cph_sto
Nov 21 at 23:00