Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Decision tree classification"”.
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Instability of Decision Tree Classification Algorithms
Empirical results illustrate that the trees constructed by the proposed algorithm are more stable, noise-tolerant, informative, expressive, and concise. The proposed sensitivity measure can be used as a metric to evaluate the stability of splitting predicates. The tree sensitivity is an indicator …
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An intelligent diagnostic system for screening newborns
… techniques, e.g., Multi layer perc eptron (MLP), decision tree, Classification and Regression Trees (CART) and ensemble of decision trees, are applied on data in order to a hieve highest performan e. High classifi cation accuracy, sensitivity, and specifity have been obtained on the given data by …
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Decision tree classifiers for incident call data sets
… records were used for training decision tree classification algorithms using Waikato Environment for Knowledge Analysis (WEKA) software. Finally, the records incorrectly assigned a subject by human operators were used for testing. The J48 algorithm gave the best performance and …
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An intrusion detection system for SDN-based tactical networks: a machine learning approach
… techniques, ensemble learning methods utilising Decision Tree classification methods, namely Random Forest and Adaptive Boosting, obtained high recall and precision when detecting DDoS attacks, malicious, and misbehaving nodes in an SDN-enabled tactical network.
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Identifying the Optimum Zone for Reducing Drill String Vibrations
… reduction process and then categorized using a decision tree classification method. The rules behind the decision tree was created by reversing conventional ways of curbing vibration problems during drilling operations. In the course of the research, it was discovered that there is a need for …
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Within-Die Delay Variation Measurement And Analysis For Emerging Technologies Using An Embedded Test Structure
… to cater for big data by focusing the work on decision tree classification (DTC) to speed-up the classification step in hardware implementation. For this purpose, I devised a pipelined architecture for the implementation of axis parallel binary decision tree classification for meeting up with …
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Wetlands Characterization in the Congo River Basin Using Multi-source Remotely Sensed Data and Field Survey
… data are used along with a state-of-the art decision tree classification method to map the wetlands extent in the Democratic Republic of the Congo (DRC). This map is then combined with vegetation and forest cover change maps published in Potapov et al. (2012) to derive a map including …
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Analysis and techniques for non-intrusive appliance load monitoring.
… Wavelet functions can significantly affect the classification accuracy. Among the four wavelets investigated in this thesis, two wavelets (Daubechies and Symlets) are able to provide the highest mean classification accuracy.
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Tidal Wetland Inundation and Vegetation Phenology from Space: A Synthesis of Approaches for Characterizing Ecological Status and Inundation Dynamics in Tidal Wetlands with Remote Sensing Observations
… accuracy greater than 83% using a random forest classification. A second classification effort focused on the mapping of wetlands vegetation at the Jug Bay wetlands complex in the Patuxent River. This classification, which also utilized the random forest technique, yielded accuracies of greater …