Diagnostic test approaches to machine learning and commonsense reasoning systems:

"This book analyzes and compares the existing and most effective algorithms for mining through logical rules and shows how these approaches use shared concepts for mining logical rules, including item, item set, transaction, frequent itemset, maximal itemset, generator (non-redundant or irredun...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere beteiligte Personen: Naidenova, Xenia 1940- (HerausgeberIn), Ignatov, Dmitrij I. (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Hershey PA Information Science Reference [2013]
Schriftenreihe:Premier reference source
Schlagwörter:
Links:http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-1900-5
https://doi.org/10.4018/978-1-4666-1900-5
https://doi.org/10.4018/978-1-4666-1900-5
https://doi.org/10.4018/978-1-4666-1900-5
https://doi.org/10.4018/978-1-4666-1900-5
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-1900-5
Zusammenfassung:"This book analyzes and compares the existing and most effective algorithms for mining through logical rules and shows how these approaches use shared concepts for mining logical rules, including item, item set, transaction, frequent itemset, maximal itemset, generator (non-redundant or irredundant itemset), closed itemset, support, and confidence" - Provided by publisher
Beschreibung:Includes bibliographical references and index
Umfang:1 Online-Ressource (xxvi, 301Seiten)
ISBN:9781466619012
9781466619029