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Full-Text Articles in Artificial Intelligence and Robotics
Reputation-Aware Trajectory-Based Data Mining In The Internet Of Things (Iot), Samia Tasnim
Reputation-Aware Trajectory-Based Data Mining In The Internet Of Things (Iot), Samia Tasnim
FIU Electronic Theses and Dissertations
Internet of Things (IoT) is a critically important technology for the acquisition of spatiotemporally dense data in diverse applications, ranging from environmental monitoring to surveillance systems. Such data helps us improve our transportation systems, monitor our air quality and the spread of diseases, respond to natural disasters, and a bevy of other applications. However, IoT sensor data is error-prone due to a number of reasons: sensors may be deployed in hazardous environments, may deplete their energy resources, have mechanical faults, or maybe become the targets of malicious attacks by adversaries. While previous research has attempted to improve the quality of …
Hybrid Methods For Feature Selection, Iunniang Cheng
Hybrid Methods For Feature Selection, Iunniang Cheng
Masters Theses & Specialist Projects
Feature selection is one of the important data preprocessing steps in data mining. The feature selection problem involves finding a feature subset such that a classification model built only with this subset would have better predictive accuracy than model built with a complete set of features. In this study, we propose two hybrid methods for feature selection. The best features are selected through either the hybrid methods or existing feature selection methods. Next, the reduced dataset is used to build classification models using five classifiers. The classification accuracy was evaluated in terms of the area under the Receiver Operating Characteristic …