Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions / / by Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
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| Autore: |
Alsolami Fawaz
|
| Titolo: |
Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions / / by Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (276 pages) |
| Disciplina: | 658.403 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Mathematical optimization | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Optimization | |
| Persona (resp. second.): | AzadMohammad |
| ChikalovIgor | |
| MoshkovMikhail | |
| Sommario/riassunto: | The results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider various examples of problems and corresponding decision tables with many-valued decisions, discuss the difference between decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal (optimal in relation to a number of criteria simultaneously) decision and inhibitory trees and rules; the comparison of greedy heuristics for tree and rule construction as single-criterion and bi-criteria optimization algorithms; and the development of a restricted multi-pruning approach used in classification and knowledge representation. |
| Titolo autorizzato: | Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions |
| ISBN: | 3-030-12854-7 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483471703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Intelligent Systems Reference Library, . 1868-4408 ; ; 156