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ORCIDAjith Abraham
- > Home > Persons > Ajith Abraham
Publications
- 2007
[c102]Vitorino Ramos, Carlos M. Fernandes
, Agostinho C. Rosa, Ajith Abraham:
Computational chemotaxis in ants and bacteria over dynamic environments. IEEE Congress on Evolutionary Computation 2007: 1109-1117- [i31]Vitorino Ramos, Carlos M. Fernandes, Agostinho C. Rosa, Ajith Abraham:
Computational Chemotaxis in Ants and Bacteria over Dynamic Environments. CoRR abs/0712.0744 (2007) - 2006
- [e10]Ajith Abraham, Crina Grosan, Vitorino Ramos:
Swarm Intelligence in Data Mining. Studies in Computational Intelligence 34, Springer 2006, ISBN 978-3-540-34955-6 [contents] - 2005
- [c43]Vitorino Ramos, Ajith Abraham:
ANTIDS: Self Orga nized Ant-Based C lustering Model for Intrusion Det ection System. WSTST 2005: 977-986 - 2004
- [c42]Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham, Vitorino Ramos:
Intrusion Detection Systems Using Adaptive Regression Splines. ICEIS (3) 2004: 26-33 - [c41]Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham, Vitorino Ramos:
Intrusion Detection Systems Using Adaptive Regression Spines. ICEIS (Selected Papers) 2004: 211-218 - [i30]Vitorino Ramos, Ajith Abraham:
ANTIDS: Self-Organized Ant-based Clustering Model for Intrusion Detection System. CoRR abs/cs/0412068 (2004) - [i29]Ajith Abraham, Vitorino Ramos:
Web Usage Mining Using Artificial Ant Colony Clustering and Genetic Programming. CoRR abs/cs/0412071 (2004) - [i28]Vitorino Ramos, Ajith Abraham:
Swarms on Continuous Data. CoRR abs/cs/0412072 (2004) - [i27]Vitorino Ramos, Ajith Abraham:
Evolving a Stigmergic Self-Organized Data-Mining. CoRR cs.AI/0403001 (2004) - [i19]Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham, Vitorino Ramos:
Intrusion Detection Systems Using Adaptive Regression Splines. CoRR cs.AI/0405016 (2004) - 2003
- [c28]Vitorino Ramos, Ajith Abraham:
Swarms on continuous data. IEEE Congress on Evolutionary Computation 2003: 1370-1375 - [c27]Ajith Abraham, Vitorino Ramos:
Web usage mining using artificial ant colony clustering and linear genetic programming. IEEE Congress on Evolutionary Computation 2003: 1384-1391
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