MLA
Rezende, Solange Oliveira, et al. "Combining Data-Driven and User-Driven Evaluation Measures to Identify Interesting Rules." Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, edited by Yanchang Zhao, et al., IGI Global, 2009, pp. 38-55. https://doi.org/10.4018/978-1-60566-404-0.ch003
APA
Rezende, S. O., Melanda, E. A., Fujimoto, M. L., Sinoara, R. A., & de Carvalho, V. O. (2009). Combining Data-Driven and User-Driven Evaluation Measures to Identify Interesting Rules. In Y. Zhao, C. Zhang, & L. Cao (Eds.), Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction (pp. 38-55). IGI Global. https://doi.org/10.4018/978-1-60566-404-0.ch003
Chicago
Rezende, Solange Oliveira, et al. "Combining Data-Driven and User-Driven Evaluation Measures to Identify Interesting Rules." In Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, edited by Yanchang Zhao, Chengqi Zhang, and Longbing Cao, 38-55. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-404-0.ch003
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