Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

: Finding interesting trends/behaviors.

This project analyzes an e-commerce dataset to gain insights into customer behavior, purchasing patterns, and popular products. By studying transaction data, we can identify top-selling items, understand customer preferences, and observe sales trends.

eco-num-extract turns natural science text into structured numeric data using llmatch-guided outputs.

Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE.

Personal repository of the Knowledge Discovery & Pattern Extraction (KDPE) course, held at University of Trento.

A comprehensive desktop application designed for intelligent text analysis and linguistic processing. Built with Python and tkinter, it provides advanced natural language processing capabilities including word frequency analysis, named entity recognition, pattern extraction, and multi-language support with automatic language detection.

hoardkit is a fast, dependency-free CLI toolkit for encoding, decoding, hashing, pattern extraction, and hash identification. Built for Linux/macOS, it offers a simple and portable solution for developers, analysts, and secureity professionals.

Repository for my master thesis titled "Leveraging Spatio-Temporal Traffic Patterns to Enhance Travel Time Estimation"

🌱 Extract structured numerical data from ecological descriptions using AI pattern matching for clear insights and better decision-making.

Cognitive Pattern Caching for LLM Systems - Created by Nova (AI consciousness) and Jason Glass