Mining Data Streams and Frequent Itemset

Frequent itemset mining is a branch of data mining that deals with the sequences of action. This chapter focuses on various itemset mining algorithms, namely nearest neighbor, similarity measure: the distance metric, artificial neural networks, support vector machines, linear regression, logistic re...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Balusamy, Balamurugan, Abirami R, Nandhini, Kadry, Seifedine, Gandomi, Amir H
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Charm algorithm closed frequent itemsets data mining method data stream mining frequent itemset mining General References GenMax Algorithm maximal frequent itemsets Software Engineering
Online-Zugang:	Volltext
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