This paper details the application of a genetic programming framework for induction of useful classification rules from a database of income statements, balance sheets, and cash flow statements for North American public companies. Potentially interesting classification rules are discovered. Anomalies in the discovery process merit further investigation of the application of genetic programming to the dataset for the problem domain
Abstract: This chapter discusses the use of evolutionary algorithms, particularly genetic algorithms...
The use of machine learning techniques to automatically analyse data for information is becoming inc...
The use of machine learning techniques to automatically analyse data for information is becoming inc...
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely cla...
The growth of database systems has called for more advanced information retrieval and knowledge disc...
The growth of database systems has called for more advanced information retrieval and knowledge disc...
Data Mining is composed by a set of methods to extract knowledgement from large database. One of the...
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely cla...
With the increasing size and complexity of modern database systems the need for sophisticated method...
The growth of database systems has called for more advanced information retrieval and knowledge disc...
Abstract: Genetic Programming (GP) has been emerged as a promising approach to deal with classificat...
Classification is one of the most researchable ideas in machine learning and data mining. A wide ran...
Abstract: This chapter discusses the use of evolutionary algorithms, particularly genetic algorithms...
The use of machine learning techniques to automatically analyse data for information is becoming inc...
The use of machine learning techniques to automatically analyse data for information is becoming inc...
Abstract: This chapter discusses the use of evolutionary algorithms, particularly genetic algorithms...
The use of machine learning techniques to automatically analyse data for information is becoming inc...
The use of machine learning techniques to automatically analyse data for information is becoming inc...
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely cla...
The growth of database systems has called for more advanced information retrieval and knowledge disc...
The growth of database systems has called for more advanced information retrieval and knowledge disc...
Data Mining is composed by a set of methods to extract knowledgement from large database. One of the...
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely cla...
With the increasing size and complexity of modern database systems the need for sophisticated method...
The growth of database systems has called for more advanced information retrieval and knowledge disc...
Abstract: Genetic Programming (GP) has been emerged as a promising approach to deal with classificat...
Classification is one of the most researchable ideas in machine learning and data mining. A wide ran...
Abstract: This chapter discusses the use of evolutionary algorithms, particularly genetic algorithms...
The use of machine learning techniques to automatically analyse data for information is becoming inc...
The use of machine learning techniques to automatically analyse data for information is becoming inc...
Abstract: This chapter discusses the use of evolutionary algorithms, particularly genetic algorithms...
The use of machine learning techniques to automatically analyse data for information is becoming inc...
The use of machine learning techniques to automatically analyse data for information is becoming inc...
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