Noisy Data in Data Mining (2011)

2011 (7 papers)

  • Catal C, Alan O, Balkan K. Class noise detection based on software metrics and ROC curves. Inf Sci 2011;181(21):4867-77.
  • Wang X, Chen B, Chang F. A classification algorithm for noisy data streams with concept-drifting. Journal of Computational Information Systems 2011;7(12):4392-9.
  • Islam MZ, Brankovic L. Privacy preserving data mining: A noise addition framework using a novel clustering technique. Knowledge-Based Syst 2011;24(8):1214-23.
  • Santhanam T, Radhika S. Probabilistic neural network-a better solution for noise classification. Journal of Theoretical and Applied Information Technology 2011;27(1):39-42.
  • Yang X, Zhang G, Lu J, Ma J. A kernel fuzzy c-means clustering-based fuzzy support vector machine algorithm for classification problems with outliers or noises. IEEE Trans Fuzzy Syst 2011;19(1):105-15.
  • Seiffert C, Khoshgoftaar TM, Van Hulse J, Folleco A. An empirical study of the classification performance of learners on imbalanced and noisy software quality data. Inf Sci 2011.
  • Luukka P, Lampinen J. Differential evolution classifier in noisy settings and with interacting variables. Applied Soft Computing Journal 2011;11(1):891-9.