A Lightweight Machine Learning Pipeline for Crypto Forecasting: A Capstone Case Study in Software Engineering Education

Communications in computer and information science 2026

View at publisher
Authors: Lucas Norpchen, Omar Santiago Nieva García, Koby Winkler, Jose Temblador, Benyamin Ahmadnia
DOI: 10.1007/978-3-032-08977-9_36
Cited by: 0
References: 2

Fields of Study & Subjects

Blockchain Technology Applications and Security Innovations in Educational Methods Stock Market Forecasting Methods

Publication details

Journal / source
Communications in computer and information science
Pages
560–567
Publication date
1 January 2026
Language
EN