ROhAN: Row-Order Agnostic Null Models for Statistically-sound Knowledge Discovery

This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,

Customer churn prediction using machine learning. The project follows CRISP-DM and KDD methodologies, including data preprocessing, feature engineering, modeling, and evaluation. It also features an interactive dashboard for visualizing results.

A wrapper of FRAUDAR algorithm

DevOps pipeline for Real Time Social/Web Mining

Notebooks Python da parte prática da disciplina "CIC0193 - Fundamentos de Sistemas Inteligentes" do Departamento de Ciência da Computação da Universidade de Brasília.

[NeurIPS 2023, KDD MLG 2023] Repo that contains code for the paper titled: "FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations".

KDD Pipeline for DDoS Connections Data Classification

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

Personal website/blog

东北大学2023-2024秋季学期数据挖掘与知识发现课程大作业

IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23

IDS using an Artificial Neural Network.

Notes from KDD2023

Uso de Machine Learning para Predição de Volumes em Mananciais

This is a collection of papers and other resources related to fairness.

Density-Based Clustering Validation

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

[KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.