This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. cost-sensitive model trees for financial data or multi-test trees for gene expression data.
“The structure of the book is well-thought-out. … I recommend the book for students, researchers, and developers interested in real-life applications of big data analysis.” (K. Balogh, Computing Reviews, February 15, 2021)
Innehållsförteckning
Evolutionary computation.- Decision trees in data mining.- Parallel and distributed computation.- Global induction of univariate trees.- Oblique and mixed decision trees.- Cost-sensitive tree induction.- Multi-test decision trees for gene expression data.- Parallel computations for evolutionary induction.