Add to ORKGData Mining is composed by a set of methods to extract knowledgement from large database. One of these methods is Genetic Programming. In this work we use this method to build a Data Mining System that define a set of patterns in order to classify the data. We define a grammar, which is used by the Genetic Programming in order to define the rules that represent the patterns. In this way, we can group the data in class and simplify the information in the database according to the set of patterns
This paper describes the use of Data Mining Techniques to improve teaching–learning processes in the...
This book provides a unified framework that describes how genetic learning can be used to design pat...
This book provides a unified framework that describes how genetic learning can be used to design pat...
Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially use...
Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially use...
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely cla...
Abstract: Genetic Programming (GP) has been emerged as a promising approach to deal with classificat...
Rule induction is a data mining technique used to extract classification rules of the form IF (condi...
This paper details the application of a genetic programming framework for induction of useful classi...
Abstract. This paper describes how to use evolutionary algorithms as data mining methods for discove...
Summary. Rule induction is a data mining technique used to extract classification rules of the form ...
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely cla...
Abstract. The aim of this paper is to present a new tool of multi-ple instance learning which is des...
In data mining, we emphasize the need for learning from huge, incomplete, and imperfect data sets. T...
Data mining has as goal to extract knowledge from large databases. A database may be considered as a...
This paper describes the use of Data Mining Techniques to improve teaching–learning processes in the...
This book provides a unified framework that describes how genetic learning can be used to design pat...
This book provides a unified framework that describes how genetic learning can be used to design pat...
Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially use...
Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially use...
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely cla...
Abstract: Genetic Programming (GP) has been emerged as a promising approach to deal with classificat...
Rule induction is a data mining technique used to extract classification rules of the form IF (condi...
This paper details the application of a genetic programming framework for induction of useful classi...
Abstract. This paper describes how to use evolutionary algorithms as data mining methods for discove...
Summary. Rule induction is a data mining technique used to extract classification rules of the form ...
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely cla...
Abstract. The aim of this paper is to present a new tool of multi-ple instance learning which is des...
In data mining, we emphasize the need for learning from huge, incomplete, and imperfect data sets. T...
Data mining has as goal to extract knowledge from large databases. A database may be considered as a...
This paper describes the use of Data Mining Techniques to improve teaching–learning processes in the...
This book provides a unified framework that describes how genetic learning can be used to design pat...
This book provides a unified framework that describes how genetic learning can be used to design pat...