50 Algorithms Every Programmer Should Know by Imran Ahmad

Author:Imran Ahmad [Ahmad, Imran]
Language: eng
Format: epub
Tags: coding interview; Self-Taught Programmer; Grokking Algorithms; Python book; Python data science; Computational thinking; algorithms and data structures; machine learning python; Python algorithms; Deep Learning; Language Models; Sequential Models
Publisher: Packt Publishing
Published: 2023-08-29T00:00:00+00:00

Mining Frequent Patterns

The second phase of the FP-growth tree involves mining the frequent patterns from the FP-tree. By creating an ordered tree, the intention is to create an efficient data structure that can be easily navigated to search for frequent patterns.We start from a leaf node (that is, the end node) and move upward—for example, let's start from one of the leaf node items, bat. Then we need to calculate the conditional pattern base for bat. The conditional pattern base is calculated by specifying all the paths from the leaf item node to the top. The conditional pattern base for bat will be as follows:

Wicket: 1 Pads: 1 Helmet: 1

Pad: 1 Helmet: 1

The frequent pattern for bat will be as follows:

{wicket, pads, helmet} : bat{pad,helmet} : bat

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