PCY Algorithm for Frequent Pattern Mining using Pyspark

Implementation of algorithms for big data using python, numpy, pandas.

Implemented and visualized all kinds of machine learning algorithms by Python

Implementation of PCY and Apriori algorithm

Market Basket Analysis using Frequent Itsemsets

Python implementation of the Apriori, PCY, Multistage and Multihash algorithms

College project (Analysis of massive data sets) - C# implementation of big data algorithms (2017/2018)

A collection of a few basic algorithms implemented using MapReduce (Hadoop)

(Class) Big Data Analysis Course Assignments

Implementacija algoritama predstavljenih na predmetu Analiza velikih skupova podataka (AVSP)

This repository houses an implementation of finding frequent items utilizing A-Priori and PCY Algorithms on Apache Kafka. It leverages a 15GB .json file as a sample of the 100+GB Amazon_Reviews_Metadata Dataset. This was developed as part of an assignment for the course Fundamentals of Big Data Analytics (DS2004).

Lab solutions for Analysis of Massive Datasets ("Analiza velikih skupova podataka") course at FER 2020/21

A-priori and PCY algorithm implementations on large data sets.

The main objective of this project is to find frequent itemsets by implementing two efficient algorithms: A-Priori and PCY. The goal is to find frequent pairs of elements. You do not need to find triples and larger itemsets.