Joost Nico Kok

prof.dr.

  • 0 Citations
  • 0 h-Index
20192019
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Personal profile

Education/Academic qualification

PhD, Vrije Universiteit

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  • 3 Similar Profiles
Novelty Detection Mathematics
Data Streams Mathematics
Clustering Mathematics
Concept Drift Mathematics
Data Distribution Mathematics
Ensemble Mathematics
Learning algorithms Engineering & Materials Science
Learning Algorithm Mathematics

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Research Output 2019 2019

  • 2 Conference contribution
1 Downloads (Pure)

Ensemble Clustering for Novelty Detection in Data Streams

Garcia, K. D., de Faria, E. R., de Sá, C. R., Mendes-Moreira, J., Aggarwal, C. C., de Carvalho, A. C. P. L. F. & Kok, J. N., 1 Jan 2019, Discovery Science : 22nd International Conference, DS 2019, Splitm, Croatia, October 28-30, 2019. Proceedings. Kralj Novak, P., Džeroski, S. & Šmuc, T. (eds.). Cham: Springer, p. 460-470 11 p. (Lecture Notes in Artificial Intelligence; subseries of Lecture Notes in Computer Science; vol. 11828 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Novelty Detection
Data Streams
Ensemble
Clustering
Data Distribution

Online Clustering for Novelty Detection and Concept Drift in Data Streams

Garcia, K. D., Poel, M., Kok, J. N. & de Carvalho, A. C. P. L. F., 1 Jan 2019, Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings. Moura Oliveira, P., Novais, P. & Reis, L. P. (eds.). Cham: Springer, p. 448-459 12 p. (Lecture Notes in Computer Science; vol. 11805)(Lecture Notes in Artificial Intelligence)(Lecture Notes in Bioinformatics).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Novelty Detection
Concept Drift
Data Streams
Clustering
Data Distribution