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Sequential Pattern Mining vesus "Sequential Pattern Mining"
Posted by:
zhaozhao
Date: October 30, 2018 07:45PM
HiFournier-Viger.
i would like to ask if you ever hear the concept of "Lag Sequential Analysis".
you may find the inform at
http://methods.sagepub.com/base/download/ReferenceEntry/the-sage-encyclopedia-of-communication-research-methods/i7593.xml
somehow, I think it may have similar effort compared with "Sequential Pattern Mining". both can be used to predict the next behavior of action.
would you agree it or have different opinions?
i would like to ask if you ever hear the concept of "Lag Sequential Analysis".
you may find the inform at
http://methods.sagepub.com/base/download/ReferenceEntry/the-sage-encyclopedia-of-communication-research-methods/i7593.xml
somehow, I think it may have similar effort compared with "Sequential Pattern Mining". both can be used to predict the next behavior of action.
would you agree it or have different opinions?
Re: Sequential Pattern Mining vesus "Sequential Pattern Mining"
Posted by:
webmasterphilfv
Date: October 30, 2018 09:11PM
Hi,
There might be some similarities but I think there are some important differences between sequential pattern mining and lag sequence analysis.
Lag sequence analysis (LS):
- it is used to analyse time series (sequences of numbers) and find if there is some correlation between what happen at at time T with what happened at a time T + lag where lag is a parameter.
Sequential pattern mining (SPM):
- is used to analyse sequences of symbols and find subsequences of symbols that appear frequently in a set of sequences.
Differences:
- SPM is for a set of sequences of symbols. LS is for a time series (a sequence of number). T
- In time series, the time interval between consecutive values is assumed to always be the same. In sequences, this may not be true.
- SPM find patterns that appear in many sequences but there is no concept of lag. In LS there is a concept of lag.
Similarties
- You could always convert a time series to sequences of symbols to find sequential patterns in a time series. But there is still no concept of lag.
- You could always use both techniques to do some predictions.
I think that periodic pattern mining is closer to lag sequence analysis than sequential pattern mining.
Just my opinion ;-)
Edited 1 time(s). Last edit at 10/30/2018 09:12PM by webmasterphilfv.
There might be some similarities but I think there are some important differences between sequential pattern mining and lag sequence analysis.
Lag sequence analysis (LS):
- it is used to analyse time series (sequences of numbers) and find if there is some correlation between what happen at at time T with what happened at a time T + lag where lag is a parameter.
Sequential pattern mining (SPM):
- is used to analyse sequences of symbols and find subsequences of symbols that appear frequently in a set of sequences.
Differences:
- SPM is for a set of sequences of symbols. LS is for a time series (a sequence of number). T
- In time series, the time interval between consecutive values is assumed to always be the same. In sequences, this may not be true.
- SPM find patterns that appear in many sequences but there is no concept of lag. In LS there is a concept of lag.
Similarties
- You could always convert a time series to sequences of symbols to find sequential patterns in a time series. But there is still no concept of lag.
- You could always use both techniques to do some predictions.
I think that periodic pattern mining is closer to lag sequence analysis than sequential pattern mining.
Just my opinion ;-)
Edited 1 time(s). Last edit at 10/30/2018 09:12PM by webmasterphilfv.