Write a Python Program to implement FP tree growth Algorithm on a data

Question

Write a Python Program to implement FP tree growth Algorithm on a dataset of your own choice.

07 Mar 2024

Answer :

Word Count : 1097

The FP-Growth (Frequent Pattern Growth) algorithm is used for mining frequent patterns in a dataset without candidate generation, commonly used in association rule mining.

Python implementation of the FP-Growth algorithm using a simple dataset:

Step 1: Dataset
We'll use a transactional dataset as input.

Step 2: FP-Growth Implementation
The algorithm involves:

Building the FP-tree.
Mining frequent patterns from the FP-tree.

from collections import defaultdict, namedtuple
import itertools

class FPTree:
class Node:
def __init__(self, item, count, parent):
self.item = item # Item at this node
self.count = count # Count of occurrences
self.parent = parent # Parent node
self.children = {} # Child nodes
self.link = None # Link to next node with the same item

def __init__(self):
self.root = self.Node(None, 1, None) # Create root node
self.header_table = {} # Header table to link nodes

def add_transaction(self, transaction):
current_node = self.root
for item in transaction:
if item in current_node.children:
current_node.children[item].count += 1
else:
new_node = self.Node(item, 1, current_node)
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