Association Rule Mining in XML Database

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35,90 

ISBN: 6202072423
ISBN 13: 9786202072427
Autor: Duraisamy, Sasikala/Kandasamy, Premalatha
Verlag: LAP LAMBERT Academic Publishing
Umfang: 56 S.
Erscheinungsdatum: 17.02.2018
Auflage: 1/2018
Format: 0.4 x 22 x 15
Gewicht: 102 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 3857162 Kategorie:

Beschreibung

Data mining is a process of extracting hidden information from large databases. It is a powerful technology that helps to analyze the important information present in the databases. Association Rule Mining (ARM) is a research field in data mining that extracts frequent patterns of items in the transaction databases. In order to select interesting rules from the set of all possible rules, various measures are used. The two basic interestingness measures in ARM are support and confidence. In addition to market basket analysis association rules are applied in the areas including web usage mining, intrusion detection, and bioinformatics.

Autorenporträt

Dr. D. Sasikala completed her undergraduate degree in Computer Science at Bharathiyar University,Coimbatore in 2000 and she has 17 years of teaching experience. She completed her Ph.D in 2016. Currently she is working as Associate Professor in the Department of CSE at Bannari Amman Institute of Technology, Sathy, Erode.

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