$2.(3$ marks$)$ Sequential Pattern Mining:

Sequential pattern mining is often used to discover patterns in web data over time $($e$.$g$.,$ sequences of pages visited by a user$).$ Suppose you have the following sequence of user actions on a website:

$-$ User $1$: $[$Home $\backslash (\backslash$rightarrow $\backslash )$ Product Page $\backslash (\backslash$rightarrow $\backslash )$ Checkout$]$

$-$ User $2$: $[$Home $\backslash (\backslash$rightarrow $\backslash )$ Search $\backslash (\backslash$rightarrow $\backslash )$ Product Page $\backslash (\backslash$rightarrow $\backslash )$ Checkout$]$

$-$ User $3$: $[$Home $\backslash (\backslash$rightarrow $\backslash )$ Product Page $\backslash (\backslash$rightarrow $\backslash )$ Checkout$]$

Explain how sequential pattern mining can be applied to identify frequent sequences. What is the minimum support threshold that would generate the sequence "Home $\backslash (\backslash$rightarrow $\backslash )$ Product Page $\backslash (\backslash$rightarrow $\backslash )$ Checkout"?