Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets

Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms

This study reports the empirical analysis of a hyper-heuristic evolutionary algorithm that is capable of automatically designing top-down decision-tree induction algorithms. Top-down decision-tree algorithms are of great importance, considering their ability to provide an intuitive and accurate knowledge representation for classification problems. The automatic design of these algorithms seems ...

Evolutionary algorithms for finding optimal gene sets in microarray prediction

MOTIVATION Microarray data has been shown recently to be efficacious in distinguishing closely related cell types that often appear in different forms of cancer, but is not yet practical clinically. However, the data might be used to construct a minimal set of marker genes that could then be used clinically by making antibody assays to diagnose a specific type of cancer. Here a replication algo...

Using Data Mining and Three Decision Tree Algorithms to Optimize the Repair and Maintenance Process

The purpose of this research is to predict the failure of devices using a data mining tool. For this purpose, at the outset, an appropriate database consists of 392 records of ongoing failures in a pharmaceutical company in 1394, in the next step, by analyzing 9 characteristics and type of failure as a database class, analyzes have been used. In this regard, three decision tree algorithms have ...

Evolutionary Algorithms in Decision Tree Induction

Consensus clustering of gene expression microarray data using genetic algorithms

This work presents a new consensus clustering method for gene expression microarray data based on a genetic algorithm. Using two datasets – DA and DB – as input, the genetic algorithm examines putative partitions for the samples in DA, selecting biomarkers that support such partitions. The biomarkers are then used to build a classifier which is used in DB to determine its samples classes. The g...