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Decision tree induction is an important way of learning rules from examples. Due to the NP-hard problem, heuristic algorithms play a crucial role for generating short decision trees. This paper investigates the comparison between two heuristic algorithms in decision tree generation for the capacity of resisting noise. One heuristic is the well-known ID3 while the other is our previously proposed....
The method of de-noising by wavelet transformation and the basic theory of wavelet transformation based on threshold de-noising are introduced in this paper, the characteristics of noise under the wavelet decomposition are discussed, and the gear fault diagnosis of a gearbox is studied through the wavelet analysis. Experiment result demonstrates that this method can remove the strong noise and extract...
Mining concept drifting data stream is a challenging area for data mining research. Recent years have witnessed an averaging ensemble classifier which is based on the learnable assumption, although this ensemble classifier is an efficient algorithm for mining concept-drifting data streams, it is still inadequate to represent real-world data streams with noisy data. In this paper, we propose a novel...
This study reports the preliminary experiments, feature definitions and results for auditory brainstem responses (ABRs) evoked by a short speech syllable presented to healthy native-Chinese-speaking adults. Due to poor signal quality in the recording and the weakness nature of the brainstem response to particularly, the sophisticated sound, the resultant responses are selected based on criteria and...
This paper focuses on continuous attributes handling for mining data stream with concept drift. Data stream is an incremental, online and real time model. Domingos and Hulten have presented a one-pass algorithm. Their system VFDT use Hoeffding inequality to achieve a probabilistic bound on the accuracy of the tree constructed. VFDTpsilas extended version CVFDT handles concept drift efficiently. In...
A new poles extraction technique is presented based on modified damping least squares algorithm combined with matrix pencil method. Initial values of poles are obtained using matrix pencil method to overcome local convergence of nonlinear least squares. Stability of iterative algorithm is improved utilizing modified damping least squares algorithm instead of other methods. Perfect simulation results...
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