Association Rule Mining in XML Database
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Sasikala Duraisamy, Premalatha Kandasamy
Duraisamy, SasikalaDr. 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.
Bibliographische Angaben
- Autoren: Sasikala Duraisamy , Premalatha Kandasamy
- 2018, 56 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6202072423
- ISBN-13: 9786202072427
Sprache:
Englisch
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