Add to ORKGRule induction serves as an alternative knowledge acquisition method in the development of expert systems. Time- and cost-sensitive data is present in many common induction applications, such as predicting the bankruptcy of corporations and approving their credit. Data that affects these decisions changes with time. Present rule induction methods do not account for the varying availability of data, and research on the cost of data in rule induction is contradictory. Utilizing the presence of these cost factors can result in a more valuable decision support tool, one that can classify cases from partial information. Making such early decisions trades reduced accuracy for the benefits of early classification. Previous research has selected at...
[[abstract]]A cost-sensitive decision tree is induced for the purpose of building a decision tree fr...
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually...
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually...
Rule induction serves as an alternative knowledge acquisition method in the development of expert sy...
Patient diagnosis and treatment involves factors that occur at different times. In order to identify...
Decision trees are an attractive method for classification tasks, because classification rules can b...
1 Introduction Suppose that a medical center has decided to use machine learning techniques to induc...
Decision tree induction is a widely used technique for learning from data which first emerged in the...
Decision tree induction is a widely used technique for learning from data which first emerged in the...
Decision tree induction is a widely used technique for learning from data which first emerged in the...
Decision tree induction is a widely used technique for learning from data which first emerged in the...
The past decade has seen a significant interest on the problem of inducing decision trees that take ...
The past decade has seen a significant interest on the problem of inducing decision trees that take ...
The past decade has seen a significant interest on the problem of inducing decision trees that take ...
The past decade has seen a significant interest on the problem of inducing decision trees that take ...
[[abstract]]A cost-sensitive decision tree is induced for the purpose of building a decision tree fr...
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually...
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually...
Rule induction serves as an alternative knowledge acquisition method in the development of expert sy...
Patient diagnosis and treatment involves factors that occur at different times. In order to identify...
Decision trees are an attractive method for classification tasks, because classification rules can b...
1 Introduction Suppose that a medical center has decided to use machine learning techniques to induc...
Decision tree induction is a widely used technique for learning from data which first emerged in the...
Decision tree induction is a widely used technique for learning from data which first emerged in the...
Decision tree induction is a widely used technique for learning from data which first emerged in the...
Decision tree induction is a widely used technique for learning from data which first emerged in the...
The past decade has seen a significant interest on the problem of inducing decision trees that take ...
The past decade has seen a significant interest on the problem of inducing decision trees that take ...
The past decade has seen a significant interest on the problem of inducing decision trees that take ...
The past decade has seen a significant interest on the problem of inducing decision trees that take ...
[[abstract]]A cost-sensitive decision tree is induced for the purpose of building a decision tree fr...
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually...
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually...