Applied Intelligence & Data Analysis

Members

1-Faculty/Staff / Camacho, David

David Camacho is currently working as Associate Professor in the Computer Science Department at Universidad Autónoma de Madrid (Spain). He is the founder and head of the Applied Intelligence & Data Analysis Group (http://aida.ii.uam.es). He received a Ph.D. in Computer Science (2001) from Universidad Carlos III de Madrid, and a B.S. in Physics (1994) from Universidad Complutense de Madrid. He has published more than 150 journals, books, and conference papers. His research interests include Data Mining (Clustering), Computational Intelligence (mainly in Evolutionary Computation: GA & GP, Swarm Intelligence: ACO algorithms), Multi- Agent Systems & DSS (Unmanned Air Vehicles) and Videogames.

Contact Information

  • Institute: Departamento de Ingenierí­a Informática. Escuela Politécnica Superior. Universidad Autónoma de Madrid.
  • Address: C/Francisco Tomás y Valiente 11, 28049 Madrid, Spain
  • Office: B-433
  • Phone Number: +34 91 497-2288
  • Email: david.camacho (you know what symbol goes here) uam.es

Show all

2014

Gonzalez-Pardo, Antonio; Rosa, Angeles; Camacho, David

Behaviour-based identification of student communities in Virtual Worlds Journal Article

Computer Science and Information Systems (COMSIS), 11 (1), pp. 195-213, 2014, ISSN: 1820-0214.

Links | BibTeX | Tags: Computer-based Education, Data Mining, Normalized Compression Distance, Virtual World

2010

Gonzalez-Pardo, Antonio; de Rodriguez, Francisco Borja; Pulido, Estrella; Camacho, David

Using Virtual Worlds for Behaviour Clustering-based Analysis Conference

ACM Workshop on Surreal Media and Virtual Cloning, SMVC '10 ACM, ACM New York, NY, USA, 2010, ISSN: 978-1-60558-933-6.

Links | BibTeX | Tags: Clustering, Normalized Compression Distance, Virtual World

Gonzalez-Pardo, Antonio; Granados, Ana; Camacho, David; de Rodriguez, Francisco Borja

Influence of music representation on compression-based clustering Conference

IEEE World Congress on Computational Intelligence, IEEE Xplore, 2010, ISSN: 978-1-4244-6910-9.

Links | BibTeX | Tags: Clustering, Genetic Algorithms, Information Theory, Normalized Compression Distance