CITATION.cff

cff-version: 1.2.0
message: "If you use this software in your research, please cite it using the following metadata."
title: "GSP-Py - Generalized Sequence Pattern algorithm in Python"
authors:
  - family-names: "Prado Lima"
    given-names: "Jackson Antonio do"
    orcid: "https://orcid.org/10.5281/zenodo.3333987"
year: 2025
version: "2.3.0"
doi: "10.5281/zenodo.3333987"
url: "https://github.com/jacksonpradolima/gsp-py"
repository-code: "https://github.com/jacksonpradolima/gsp-py"
license: "MIT"
keywords:
  - "GSP"
  - "sequential patterns"
  - "data analysis"
  - "sequence mining"
abstract: >
  GSP-Py is a Python-powered library to mine sequential patterns in large datasets,
  based on the robust Generalized Sequence Pattern (GSP) algorithm. It is ideal for market
  basket analysis, temporal mining, and user journey discovery.