<p><p></p><p>Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object fr
Extensions of dynamic programming for combinatorial optimization and data mining
โ Scribed by AbouEisha H. et al.
- Publisher
- SPRINGER INTERNATIONAL PU
- Year
- 2019
- Tongue
- English
- Leaves
- 277
- Series
- Intelligent systems reference library 146
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content: Introduction.- Tools for Study of Pareto Optimal Points.- Some Tools for Decision Tables.- Different Kinds of Decision Trees.- Multi-stage Optimization of Decision Trees with Some Applications.- More Applications of Multi-stage Optimizationof Decision Trees.- Bi-Criteria Optimization Problem for Decision Trees: Cost vs Cost.- Bi-Criteria Optimization Problem for Decision Trees: Cost vs Uncertainty.- Different Kinds of Rules and Systems of Rules
โฆ Subjects
Dynamic programming.;Combinatorial optimization.;Data mining.
๐ SIMILAR VOLUMES
Society for Industrial and Applied Mathematics, 2001, -174 pp.<div class="bb-sep"></div>The first part of this monograph's title, Combinatorial Data Analysis (CDA), refers to a wide class of methods for the study of relevant data sets in which the arrangement of a collection of objects is absolutely
I wanted to learn about combinatorial optimization for a particular application in cluster analysis, and this book hit the mark. This is a clearly written overview of the application of general dynamic programming to cluster analysis, object sequencing and seriation, and other data analysis problems
I wanted to learn about combinatorial optimization for a particular application in cluster analysis, and this book hit the mark. This is a clearly written overview of the application of general dynamic programming to cluster analysis, object sequencing and seriation, and other data analysis problems
Combinatorial data analysis (CDA) refers to a wide class of methods for the study of relevant data sets in which the arrangement of a collection of objects is absolutely central. The focus of this monograph is on the identification of arrangements, which are then further restricted to where the comb