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Full-Text Articles in Engineering
Evaluating Classifiers' Optimal Performances Over A Range Of Misclassification Costs By Using Cost-Sensitive Classification, Ramy Al-Saffar
Evaluating Classifiers' Optimal Performances Over A Range Of Misclassification Costs By Using Cost-Sensitive Classification, Ramy Al-Saffar
LSU Master's Theses
We believe that using the classification accuracy is not enough to evaluate the performances of classification algorithms. It can be misleading due to overlooking an important element which is the cost if classification is inaccurate. Furthermore, the Receiver Operational Characteristic (ROC) is one of the most popular graphs used to evaluate classifiers performances. However, one of the biggest ROC’s shortcomings is the assumption of equal costs for all misclassified data. Therefore, our goal is to reduce the total cost of decision making by selecting the classifier that has the least total misclassification cost. Nevertheless, the exact misclassification cost is usually …
Group Assignment And Annual Average Daily Traffic Estimation Of Short-Term Traffic Counts Using Gaussian Mixture Modeling And Neural Network Models, Sunil Kumar Madanu
Group Assignment And Annual Average Daily Traffic Estimation Of Short-Term Traffic Counts Using Gaussian Mixture Modeling And Neural Network Models, Sunil Kumar Madanu
Civil Engineering Dissertations
The grouping of similar traffic patterns and cluster assignment process represent the most critical steps in AADT estimation from short-term traffic counts. Incorrect grouping and assignment often become a significant source of AADT estimation errors. For instance, grouping a commuter traffic trend pattern into a recreational traffic trend may produce an erroneous AADT value. The traditional knowledge-based methods, often aided with visual interpretation, introduce subjective bias while grouping traffic patterns. In addition, the grouping requires personnel resources to process large amounts of data and remains inefficient with unapparent traffic patterns. The functional class grouping, a traditional method, also produces larger …
Performance Evaluation Of Auc Backbone Network Using Simulation And Monitoring Tools, Nabawia Khalil Abdel-Karim
Performance Evaluation Of Auc Backbone Network Using Simulation And Monitoring Tools, Nabawia Khalil Abdel-Karim
Archived Theses and Dissertations
Networks in the past were defined by the traffic they carried. The network management systems that can track performance statistics, alarms and diagnostics are usually called operations support systems. As number of applications carried over a network grew, networks cannot scale economically. They become large, complex and expensive. Network performance became an important issue to network designers, operators and implementers to design, implement and maintain scalable, reliable and resilient networks. In this research, we developed a comparative analysis for two tools commonly utilized to aid network operations support to arrive at decisions related to network scalability, performance evaluation and renewal. …