default search action

combined dblp search
author search
venue search
publication search

ask others

"Unsupervised Learning Algorithms are Able to Identify Relevant Patterns in ..."

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Victor Lomas Barrie et al. (2022)

> Home

Details and statistics

DOI: —

access: open

type: Journal Article

metadata version: 2026-04-28

- view
  - electronic edition @ ipn.mx (open access)
- export record
  dblp key:
  - journals/rcs/BarrieAMN22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/rcs/BarrieAMN22
Victor Lomas Barrie, Tamara Alcántara, Sergio Mota, Antonio Neme:
Unsupervised Learning Algorithms are Able to Identify Relevant Patterns in the Pollution Data in Mexico City. Res. Comput. Sci. 151(10): 29-44 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.

last updated on 2026-04-28 10:25 CEST by the dblp team

all metadata released as open data under CC0 1.0 license

see also: Terms of Use | Privacy Policy | Imprint

dblp was originally created in 1993 at:

since 2018, dblp has been operated, funded, and maintained by:

Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.