Publications


1. CUNHA, D. S., SOUZA, F. R. A., SILVA, M. C., POTIGUARA, U. J. C., BAGANHA, A. SHIVA: Dispositivo de Entrada de Dados e Interação Virtual por Webcam para Portadores de Necessidades Especiais In: COMPUTER ON THE BEACH, 2010, Florianópolis. Computer on the Beach 2010. , 2010.

Download: CoB 2010


2. CUNHA, D. S., DOMINGUES, M. L. C. S. Base de dados de gestão de ordens de serviço: extração de regras interessantes para apoio à decisão In: Escola Regional de Banco de Dados, 2010, Joinville. VI Escola Regional de Banco de Dados. , 2010.

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3. CUNHA, D. S., SOUZA, F. R. A., SILVA, M. C., POTIGUARA, U. J. C., BAGANHA, A. SHIVA: Realidade Aumentada Aplicada à Infoinclusão de Portadores de Necessidades Especiais In: COMPUTER ON THE BEACH, 2011, Florianópolis. Computer on the Beach 2011. , 2011.

Download: CoB 2011


4. Danilo Souza da Cunha and Leandro Nunes de Castro. 2012. Evolutionary and immune algorithms applied to association rule mining. In Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO'12), Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, and Pradipta Kumar Nanda (Eds.). Springer-Verlag, Berlin, Heidelberg, 628-635.

Download: ACM | Google Books | Springer 


5. D. S. da Cunha, L. N. de Castro, The Influence of Selection and Crossover in an Evolutionary Algorithm for Association Rule Mining. Proceedings 2012 International Conference of Information Science and Computer Applications (ICISCA 2012), November 19th-20th, 2012, Bali Dynasty Resort, Bali-Indonesia, vol. 1 of Advances in Information Technology and Applied Computing (ISSN 2251-3418), pp. 170-174, 2012.

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6. Souza da Cunha, D.; Nunes de Castro, L., "Bioinspired Algorithms Applied to Association Rule Mining in Electronic Commerce Databases," Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on , vol., no., pp.189,194, 8-11 Sept. 2013.

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7. da Cunha, D. S., Xavier, R. S., Ferrari, D. G., & de Castro, L. N. (2015, October). Association rule mining using a bacterial colony algorithm. In Computational Intelligence (LA-CCI), 2015 Latin America Congress on (pp. 1-6). IEEE.

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8. da Cunha, D. S., Xavier, R. S., & de Castro, L. N. (2015, October). A Bacterial Colony Algorithm for Association Rule Mining. In International Conference on Intelligent Data Engineering and Automated Learning (pp. 96-103). Springer International Publishing.

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9. CRUZ, DÁVILA P. F. ; POLITI, ALEXANDRE A. ; CUNHA, DANILO ; CASTRO, LEANDRO N. DE ; MAIA, RENATO D. . A Bee-Inspired Multiobjective Optimization Clustering Algorithm. In: Modelling, Simulation and Identification / 841: Intelligent Systems and Control, 2016, Campinas. Modelling, Simulation and Identification / 841: Intelligent Systems and Control.

Dowload: ACTA Press


10. Cunha, D., Cruz, D., Politi, A., de Castro, L. N., & Maia, R. D. (2017). Bio-inspired multiobjective clustering optimization: A survey and a proposal. Artificial Intelligence Research, 6(2), 10.

Download: Sciedu Press


11. da Cunha D.S., Xavier R.S., Ferrari D.G., de Castro L.N. (2018) Bacterial Colony Algorithms Applied to Association Rule Mining in Static Data and Streams. In: Bajo J. et al. (eds) Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham.

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12. Cunha, D., Xavier, R., & de Castro, L. N. (2018). Bacterial Colonies as Complex Adaptive Systems. Natural Computing, 17(1), pp. 1-18.

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13. da Cunha, Danilo Souza, and Leandro Nunes de Castro. "Evolutionary and Immune Algorithms Applied to Association Rule Mining in Static and Stream Data." 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2018.

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14. Danilo S. da Cunha, Rafael S. Xavier, Daniel G. Ferrari, Fabrício G. Vilasbôas, and Leandro N. de Castro, “Bacterial Colony Algorithms for Association Rule Mining in Static and Stream Data,” Mathematical Problems in Engineering, vol. 2018, Article ID 4676258, 14 pages, 2018.

Download: Hindawi