FP-Tree/FP-Growth Detailed Steps

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Presentation transcript:

FP-Tree/FP-Growth Detailed Steps

FP-tree construction null After reading TID=1: B:1 A:1

FP-Tree Construction Transaction Database B:8 A:5 null C:3 D:1 A:2 C:1 Header table Item Freq In Tree B 8 A 7 C D 5 E 3 Chain pointers help in quickly finding all the paths of the tree containing some given item. There is a pointer chain for each item. I have shown pointer chains only for E and D.

Transactions containing E B:8 A:5 null C:3 D:1 A:2 C:1 E:1 B:1 null C:1 A:2 D:1 E:1 All transactions that contains E are represented compactly in the lower tree.

Suffix E B:1 null C:1 A:2 D:1 E:1 (New) Header table Conditional FP-Tree for suffix E Item Freq in the tree A 2 C 2=1+1 D null B doesn’t survive because it has support 1, which is lower than min support of 2. C:1 A:2 C:1 D:1 The set of paths ending in E. Insert each path (after truncating E) into a new tree. D:1 We continue recursively. Base of recursion: When the tree has a single path only. FI: E

Suffix DE A 2 (New) Header table null The conditional FP-Tree for suffix DE A 2 A:2 C:1 D:1 null D:1 A:2 The set of paths, from the E-conditional FP-Tree, ending in D. Insert each path (after truncating D) into a new tree. We have reached the base of recursion. FI: DE, ADE

Suffix CE (New) Header table null The conditional FP-Tree for suffix CE C:1 A:1 C:1 null D:1 The set of paths, from the E-conditional FP-Tree, ending in C. Insert each path (after truncating C) into a new tree. We have reached the base of recursion. FI: CE

Suffix AE (New) Header table The conditional FP-Tree for suffix AE null null A:2 The set of paths, from the E-conditional FP-Tree, ending in A. Insert each path (after truncating A) into a new tree. We have reached the base of recursion. FI: AE

Suffix D B:3 A:2 null C:1 D:1 (New) Header table Conditional FP-Tree for suffix D A 4 B 3 C null A:4 B:1 B:2 C:1 C:1 The set of paths containing D. Insert each path (after truncating D) into a new tree. C:1 We continue recursively. Base of recursion: When the tree has a single path only. FI: D

Suffix CD null (New) Header table Conditional FP-Tree for suffix CD A 2 B A:4 B:1 B:2 C:1 C:1 null C:1 A:2 B:1 B:1 The set of paths, from the D-conditional FP-Tree, ending in C. Insert each path (after truncating C) into a new tree. We continue recursively. Base of recursion: When the tree has a single path only. FI: CD

Suffix BCD (New) Header table Conditional FP-Tree for suffix CDB null The set of paths from the CD-conditional FP-Tree, ending in B. Insert each path (after truncating B) into a new tree. We have reached the base of recursion. FI: CDB

Suffix ACD (New) Header table Conditional FP-Tree for suffix CDA null The set of paths from the CD-conditional FP-Tree, ending in A. Insert each path (after truncating B) into a new tree. We have reached the base of recursion. FI: CDA

Suffix C null (New) Header table Conditional FP-Tree for suffix C B 6 4 B:6 A:1 A:3 C:3 C:1 null C:3 B:6 A:1 A:3 The set of paths ending in C. Insert each path (after truncating C) into a new tree. We continue recursively. Base of recursion: When the tree has a single path only. FI: C

Suffix AC (New) Header table null Conditional FP-Tree for suffix AC B 3 B:6 A:1 A:3 null B:3 The set of paths from the C-conditional FP-Tree, ending in A. Insert each path (after truncating A) into a new tree. We have reached the base of recursion. FI: AC, BAC

Suffix BC (New) Header table null Conditional FP-Tree for suffix BC B 3 B:6 null The set of paths from the C-conditional FP-Tree, ending in B. Insert each path (after truncating B) into a new tree. We have reached the base of recursion. FI: BC

Suffix A null (New) Header table Conditional FP-Tree for suffix A B 5 The set of paths ending in A. Insert each path (after truncating A) into a new tree. We have reached the base of recursion. FI: A, BA

Suffix B (New) Header table Conditional FP-Tree for suffix B null null The set of paths ending in B. Insert each path (after truncating B) into a new tree. We have reached the base of recursion. FI: B

Array Technique

FP-Tree Construction Transaction Database Header table B 8 A 7 C D 5 E 3 First pass on DB: Determine the header. Then sort it. Second pass on DB: Build the FP-Tree. Also build the array.

FP-Tree Construction – Reading 1 Transaction Database null B:1 A:1 Header table B 8 A 7 C D 5 E 3 A 1 C D E B

FP-Tree Construction – Reading 2 Transaction Database null B:2 A:1 C:1 D:1 Header table B 8 A 7 C D 5 E 3 A 1 C D E B

FP-Tree Construction – Reading 3 Transaction Database null B:2 A:1 A:1 C:1 C:1 D:1 D:1 E:1 Header table B 8 A 7 C D 5 E 3 A 1 C D 2 E B

FP-Tree Construction – Reading 4 Transaction Database null B:2 A:2 A:1 C:1 C:1 D:1 D:1 D:1 E:1 Header table E:1 B 8 A 7 C D 5 E 3 A 1 C D 2 E B

FP-Tree Construction – Reading 5 Transaction Database null B:3 A:2 A:2 C:1 C:1 D:1 C:1 D:1 D:1 E:1 Header table E:1 B 8 A 7 C D 5 E 3 A 2 C D 1 E B

FP-Tree Construction – Reading 6 Transaction Database null B:4 A:2 A:3 C:1 C:1 D:1 C:2 D:1 D:1 E:1 Header table D:1 E:1 B 8 A 7 C D 5 E 3 A 3 C D 2 E 1 B

FP-Tree Construction – Reading 7 Transaction Database null B:5 A:2 A:3 C:2 C:1 D:1 C:2 D:1 D:1 E:1 Header table D:1 E:1 B 8 A 7 C D 5 E 3 A 3 C 4 D 2 E 1 B

FP-Tree Construction – Reading 8 Transaction Database null B:6 A:2 A:4 C:2 C:1 D:1 C:3 D:1 D:1 E:1 Header table D:1 E:1 B 8 A 7 C D 5 E 3 A 4 C 5 D 2 3 E 1 B

FP-Tree Construction – Reading 9 Transaction Database null B:7 A:2 A:5 C:2 C:1 D:1 C:3 D:1 D:1 D:1 E:1 Header table D:1 E:1 B 8 A 7 C D 5 E 3 A 5 C 4 D 3 E 2 1 B

FP-Tree Construction – Reading 10 Transaction Database null B:8 A:2 A:5 C:3 C:1 D:1 C:3 D:1 D:1 E:1 D:1 E:1 Header table D:1 E:1 B 8 A 7 C D 5 E 3 A 5 C 6 4 D 3 E 1 2 B

Why have the array? Constructing conditional FP-Trees. Without array Traverse the base FP-Tree to determine the new item counts. Construct a new header. Traverse again the base FP-Tree and construct the conditional FP-Tree. With array Construct a new header helped by the array. Traverse the base FP-Tree and construct the conditional FP-Tree. Saving One tree traversal. Important because experimentally it’s shown that 80% of time is spent on tree traversals.

Suffix E null (New) Header table B:8 A:2 A 2 C D 5 C 6 4 D 3 E 1 2 B Suffix E null (New) Header table B:8 A:2 A 2 C D Conditional FP-Tree for suffix E C:3 C:1 D:1 E:1 D:1 E:1 E:1 The set of paths ending in E. Insert each path (after truncating E) into a new tree. C D A

Suffix E (inserting BCE) null (New) Header table B:8 A:2 A 2 C D Conditional FP-Tree for suffix E C:3 C:1 D:1 null E:1 D:1 E:1 C:1 E:1 The set of paths ending in E. Insert each path (after truncating E) into a new tree. C D A

Suffix E (inserting ACDE) null (New) Header table B:8 A:2 A 2 C D Conditional FP-Tree for suffix E C:3 C:1 D:1 null E:1 D:1 E:1 C:1 A:1 E:1 C:1 The set of paths ending in E. Insert each path (after truncating E) into a new tree. C 1 D A D:1

Suffix E (inserting ADE) null (New) Header table B:8 A:2 A 2 C D Conditional FP-Tree for suffix E C:3 C:1 D:1 null E:1 D:1 E:1 C:1 A:2 E:1 C:1 D:1 The set of paths ending in E. Insert each path (after truncating E) into a new tree. C 1 D 2 A D:1