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...

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Weitere Verfasser:	Naidenova, Xenia (BerichterstatterIn), Ignatov, Dmitry I. (BerichterstatterIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Hershey, Pa. Information Science Reference, IGI Global 2013
Schriftenreihe:	Premier reference source
Schlagworte:	Machine learning > Data mining > Pattern recognition systems > Computer algorithms > Aufsatzsammlung > Maschinelles Lernen > Common sense reasoning
Online Zugang:	Inhaltsverzeichnis Leseproben
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Beschreibung
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"-- "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"--
Beschreibung:	Includes bibliographical references and index
Beschreibung:	XXVI, 301 S. Ill., graph. Darst. 29 cm
ISBN:	9781466619005 978-1-4666-1900-5 9781466619029 978-1-4666-1902-9