An approach based on visual text mining to support categorization and classification in the systematic mapping

An approach based on visual text mining to support categorization and classification in the systematic mapping (2010)

Authors:
USP affiliated authors: NAKAGAWA, ELISA YUMI - ICMC ; MINGHIM, ROSANE - ICMC ; MALDONADO, JOSÉ CARLOS - ICMC
Unidade: ICMC
Subjects: ENGENHARIA DE SOFTWARE; SISTEMAS DE INFORMAÇÃO
Language: Inglês
Imprenta:
- Publisher: BCS
- Publisher place: London
- Date published: 2010
Source:
- Título: Proceedings
Conference titles: International Conference on Evaluation and Assessment in Software Engineering - EASE

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ABNT

FELIZARDO, Katia Romero et al. An approach based on visual text mining to support categorization and classification in the systematic mapping. 2010, Anais.. London: BCS, 2010. Disponível em: http://portal.acm.org/citation.cfm?id=1808266.1808274. Acesso em: 28 dez. 2025.
APA

Felizardo, K. R., Nakagawa, E. Y., Feitosa, D., Minghim, R., & Maldonado, J. C. (2010). An approach based on visual text mining to support categorization and classification in the systematic mapping. In Proceedings. London: BCS. Recuperado de http://portal.acm.org/citation.cfm?id=1808266.1808274
NLM

Felizardo KR, Nakagawa EY, Feitosa D, Minghim R, Maldonado JC. An approach based on visual text mining to support categorization and classification in the systematic mapping [Internet]. Proceedings. 2010 ;[citado 2025 dez. 28 ] Available from: http://portal.acm.org/citation.cfm?id=1808266.1808274
Vancouver

Felizardo KR, Nakagawa EY, Feitosa D, Minghim R, Maldonado JC. An approach based on visual text mining to support categorization and classification in the systematic mapping [Internet]. Proceedings. 2010 ;[citado 2025 dez. 28 ] Available from: http://portal.acm.org/citation.cfm?id=1808266.1808274