Center for Artificial Intelligence and Technology (CAIT)

Fingerprint Dive into the research topics where Center for Artificial Intelligence and Technology (CAIT) is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Feature extraction Engineering & Materials Science
Classifiers Engineering & Materials Science
Ontology Engineering & Materials Science
Semantics Engineering & Materials Science
Learning systems Engineering & Materials Science
Data mining Engineering & Materials Science
Experiments Engineering & Materials Science
Support vector machines Engineering & Materials Science

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Research Output 1989 2020

Enforcing Social Semantic in FIPA-ACL Using SPIN

Gan, K. S., Anthony, P., Chin, K. O. & Hamdan, A. R., 1 Jan 2020, Agents and Multi-agent Systems: Technologies and Applications - 13th KES International Conference, KES-AMSTA-2019, Proceedings. Howlett, R. J., Jain, L. C., Šperka, R., Jezic, G., Kusek, M., Chen-Burger, Y-H. J., Jain, L. C., Jain, L. C. & Jain, L. C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-13 11 p. (Smart Innovation, Systems and Technologies; vol. 148).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Network protocols
Large scale systems

Genetic algorithm rule based categorization method for textual data mining

Afif, M. H., Ghareb, A. S., Saif, A., Bakar, A. A. & Bazighifan, O., Jan 2020, In : Decision Science Letters. 9, 1, p. 37-50 14 p.

Research output: Contribution to journalArticle

Open Access
Text categorization
Genetic algorithm
Data mining

Lake Chini Water Level Prediction Model using Classification Techniques

Hin, L. Z. & Othman, Z., 1 Jan 2020, Computational Science and Technology - 6th ICCST 2019. Alfred, R., Lim, Y., Haviluddin, H. & On, C. K. (eds.). Springer Verlag, p. 215-226 12 p. (Lecture Notes in Electrical Engineering; vol. 603).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Water levels
Data mining
Time series
Aquatic organisms