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Sequential Patterns the GSP Algorithm
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SEQUENTIAL PATTERNS & THE GSP ALGORITHM
BY: JOE CASABONA
INTRO
• What are Sequential Patterns?• Why don't ARs suffice?• The General Sequential Pattern Algorithm
o Finding Frequent Setso Candidate Generationo Rule Generation
WHAT ARE SEQUENTIAL PATTERNS?
"Finding statistically relevant patterns between data examples where the values are delivered in a sequence." [3]
Very similar to Association Rules, but sequence in this case matters. There may be times when order is important.
SEQUENTIAL PATTERN EXAMPLES
In Transaction Processing: Do customers usually buy a new controller or a game first after buying an Xbox?
In Text Mining: Order of the words important for finding linguistic orlanguage patterns [1]
OBJECTIVE
Given a set S of input data sequences, find all sequences that have a user-specified minimum support. This is called a 'frequent sequence' or sequential pattern. [1]
We will use the Generalized Sequential Pattern Algorithm (GSP)
GSP
Similar to Apriori Algorithm• Find individual items with minSupport (1-
sequences)• Use them to find 2-sequences• Continue using k-sequences to find
(k+1)-sequences• Stop when there are no more frequent
sequences. Difference is in Candidate Generation
GSP: CANDIDATE GENERATION
Input : Frequent Set k-1 (F[k-1])Output: Candidate Set C[k] How it works: • Join F[k-1] with F[k-1]• Get rid of infrequent sequences (prune)• Note: Order of items matter
CANDIDATE EXAMPLE
F[3] = <{1, 2} {4}>, <{1, 2} {5}>, <{1} {4, 5}>, <{1, 4} {6}>, <{2} {4, 5}>, <{2} {4} {6}> After Join: <{1, 2} {4, 5}>, <{1, 2} { 4} {6}> After Prune: <{1, 2} {4, 5}> C[4]= <{1, 2} {4, 5}>
RULE GENERATION
Objective not to generate rules, but it can be done. Sequential Rule: Apply confidence to Frequent Sequences Label Sequential Rules: Replace some elements in X with *
RERERENCES
[1] The Book I am using: Liu, Bing. Web Data Mining, Chapter 2: Association Rules and Sequential Patterns. Springer, December, 2006 Wikipedia:[2] "GSP Algorithm." http://en.wikipedia.org/wiki/GSP_AlgorithmJune 3, 2008
[3] "Sequence Mining." http://en.wikipedia.org/wiki/Sequence_miningOct. 30, 2008