Outputs (76)

Proceedings of the fifth UK/BCS symposium on knowledge discovery and data mining
Book
S. Vadera (Ed.), Proceedings of the fifth UK/BCS symposium on knowledge discovery and data mining. Salford: University of Salford

This is the proceedings of a one day symposium on Knowledge Discovery and Data Mining held at the Salford Lowry in 2009. The topics covered included some of the most important and exciting issues in the field. There were presentations on fundamen... Read More about Proceedings of the fifth UK/BCS symposium on knowledge discovery and data mining.

Cost-sensitive decision tree learning using a multi-armed bandit framework
Thesis
Lomax, S. Cost-sensitive decision tree learning using a multi-armed bandit framework. (Thesis). University of Salford

Decision tree learning is one of the main methods of learning from data. It has been applied to a variety of different domains over the past three decades. In the real world, accuracy is not enough; there are costs involved, those of obtaining the da... Read More about Cost-sensitive decision tree learning using a multi-armed bandit framework.

Cost-sensitive decision tree learning using a multi-armed bandit framework
Thesis
Lomax, S. Cost-sensitive decision tree learning using a multi-armed bandit framework. (Thesis). University of Salford

Decision tree learning is one of the main methods of learning from data. It has been applied to a variety of different domains over the past three decades. In the real world, accuracy is not enough; there are costs involved, those of obtaining the da... Read More about Cost-sensitive decision tree learning using a multi-armed bandit framework.

A framework for employee appraisals based on inductive logic programming and data mining methods
Thesis
Aqel, D. A framework for employee appraisals based on inductive logic programming and data mining methods. (Thesis). University of Salford

Employee performance appraisal systems are widely regarded as fundamental for evaluating employees’ performance and enhancing organisations’ success. Yet, there is evidence that employees doubt their benefits and fairness, organisations find them dif... Read More about A framework for employee appraisals based on inductive logic programming and data mining methods.

A framework for employee appraisals based on inductive logic programming and data mining methods
Thesis
Aqel, D. A framework for employee appraisals based on inductive logic programming and data mining methods. (Thesis). University of Salford

Employee performance appraisal systems are widely regarded as fundamental for evaluating employees’ performance and enhancing organisations’ success. Yet, there is evidence that employees doubt their benefits and fairness, organisations find them dif... Read More about A framework for employee appraisals based on inductive logic programming and data mining methods.

Elliptical cost-sensitive decision tree algorithm - ECSDT
Thesis
Kassim, M. (in press). Elliptical cost-sensitive decision tree algorithm - ECSDT. (Thesis). University of Salford

Cost-sensitive multiclass classification problems, in which the task of assessing the impact of the costs associated with different misclassification errors, continues to be one of the major challenging areas for data mining and machine learning.... Read More about Elliptical cost-sensitive decision tree algorithm - ECSDT.