Add to ORKGIt is important to discover relationships between attributes being used to predict a class attribute in supervised learning situations for two reasons. First, any such relationship will be potentially interesting to the provider of a dataset in its own right. Second, it would simplify a learning algorithm’s search space, and the related irrelevant feature and subset selection problem, if the relationships were removed from datasets ahead of learning. An algorithm to discover such relationships is presented in this paper. The algorithm is described and a surprising number of inter-attribute relationships are discovered in datasets from the University of California at Irvine (UCI) repository
In this paper, we investigate two variants of association rules for preference data, Label Ranking A...
The process of carefully choosing and sequencing a set of Learning Objects (LOs) to build a course m...
Recently, a number of learning algorithms have been adapted for label ranking, including instance-ba...
Abstract—Knowledge of the association information between the attributes in a data set provides insi...
Datasets found in real world applications of machine learning are often characterized by low-level a...
Attributes of an object contain its fundamental properties. Attribute data is the main source of clu...
Before scientists can analyze, publish, or share their data, they often need to determine how their ...
Abstract. Traditional data mining methods consider the problem of mining a single relation that rela...
Abstract When first faced with a learning task, it is often not clear what a satisfactory representa...
When recording experimental data in research, scientists can often accumulate thousands of datasets...
Abstract. Multirelational classification algorithms search for patterns across multiple interlinked ...
Mining the Data is also known as Discovery of Knowledge in Databases. It is to get correlations, tre...
202 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.When shortage of knowledge pr...
One of the important categories of data mining problems is that of associations between attributes. ...
Existing methods to learn visual attributes are prone to learning the wrong thing—namely, properties...
In this paper, we investigate two variants of association rules for preference data, Label Ranking A...
The process of carefully choosing and sequencing a set of Learning Objects (LOs) to build a course m...
Recently, a number of learning algorithms have been adapted for label ranking, including instance-ba...
Abstract—Knowledge of the association information between the attributes in a data set provides insi...
Datasets found in real world applications of machine learning are often characterized by low-level a...
Attributes of an object contain its fundamental properties. Attribute data is the main source of clu...
Before scientists can analyze, publish, or share their data, they often need to determine how their ...
Abstract. Traditional data mining methods consider the problem of mining a single relation that rela...
Abstract When first faced with a learning task, it is often not clear what a satisfactory representa...
When recording experimental data in research, scientists can often accumulate thousands of datasets...
Abstract. Multirelational classification algorithms search for patterns across multiple interlinked ...
Mining the Data is also known as Discovery of Knowledge in Databases. It is to get correlations, tre...
202 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.When shortage of knowledge pr...
One of the important categories of data mining problems is that of associations between attributes. ...
Existing methods to learn visual attributes are prone to learning the wrong thing—namely, properties...
In this paper, we investigate two variants of association rules for preference data, Label Ranking A...
The process of carefully choosing and sequencing a set of Learning Objects (LOs) to build a course m...
Recently, a number of learning algorithms have been adapted for label ranking, including instance-ba...