Improving classification with boundary instances multiplier algorithm based on IF-THEN rules
Maria Viorela Muntean, Ioan Ileană, Honoriu Vălean · 2012
Classification of sensory data is a major research problem in Wireless Sensor Networks (WSNs) and it can be widely used in reducing the data transmission in WSNs and also in process monitoring. Because the task of classification must be as accurate as possible, the paper proposes a novel method based IF-THEN rules to enhance the overall accuracy. The results demonstrate that the proposed approach is also significant to improve the true positive accuracy of imbalanced datasets.