USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen

Group project for the course BUDT737: Enterprise Cloud Computing and Big Data

Collection of Databricks and Jupyter Notebooks

This project utilizes the Spark Framework and GraphFrames library to implement the Girvan-Newman algorithm, detecting communities in social networks by analyzing user connections based on common business reviews and optimizing modularity through iterative edge removal.

Final submission. Topic: Apache Spark's Pyspark API

Predicted customer transactions using recency, frequency, spend behaviour and Social Network metrics over lifetime using MLlib

Graph analytics for telecom customer churn prediction

Hybrid Girvan Newman. Code for the "A Distributed Hybrid Community Detection Methodology for Social Networks" paper.

EECE 5645 Project: Performing community detection on Reddit Hyperlink network dataset and leverage the power of Spark and GraphFrames

hadoop (GFS)、mapreduce programming model、prestro、apache spark etc

[assignment] spark graphframes inside docker

DS104.N11 - Tính Toán Song Song & Phân Tán

Tracking project with machine learning using pyspark mllib

Graph Analytics Demo Using Spark and GraphFrames

Objectives: Using pyspark, MLlib and graphframes libraries, perform 1) classification and custering tasks using RandomF and Kmeans and 2) graph analysis tasks. This material is from UIUC MCS coursework.

R Interface for GraphFrames

DeepGraph supports a 360° view on graph technology and supports analytics, storage and visualization.

Top-k Most Probable Triangles in Uncertain Graphs