Isbn: 9786202072427 - association rule mining in xml database (5 resultados)

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    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2018

      6202072423 / 9786202072427

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      Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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      Paperback. Condición: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Jan 2018, 2018

      6202072423 / 9786202072427

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      Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condición: 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.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2018

      6202072423 / 9786202072427

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      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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      EUR 38,45

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      Taschenbuch. Condición: 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.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2018

      6202072423 / 9786202072427

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      Librería: moluna, Greven, Alemaniamoluna

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      Condición: 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.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Jan 2018, 2018

      6202072423 / 9786202072427

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      Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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      Taschenbuch. Condición: 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.