Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
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.
"About this title" may belong to another edition of this title.
Search results for Association Rule Mining in XML Database
Seller Image
Association Rule Mining in XML Database
Published by
LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6202072423
ISBN 13: 9786202072427
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 56 pp. Englisch. Seller Inventory # 9786202072427
Stock Image
Association Rule Mining in XML Database
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202072423
ISBN 13: 9786202072427
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. Seller Inventory # zk6202072423
Buy New
£ 53.46
£ 10 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
Association Rule Mining in XML Database
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202072423
ISBN 13: 9786202072427
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: 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 worki. Seller Inventory # 385924797
Buy New
£ 27.95
£ 42.51 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Association Rule Mining in XML Database
Published by
LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6202072423
ISBN 13: 9786202072427
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9786202072427
Seller Image
Association Rule Mining in XML Database
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202072423
ISBN 13: 9786202072427
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786202072427
Seller Image
Association Rule Mining in XML Database
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202072423
ISBN 13: 9786202072427
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Association Rule Mining in XML Database | Sasikala Duraisamy (u. a.) | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202072427 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 111453914