data mining using association di mohammad abood (9 risultati)

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Condizione: New.

Paperback. Condizione: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock.

Taschenbuch. Condizione: Neu. Data Mining Using Association Rules with Fuzzy Logic | Amany Mohammad Abood (u. a.) | Taschenbuch | 88 S. | Englisch | 2018 | Scholars' Press | EAN 9786202308700 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. It is used to automatically extract structured knowledge from large datasets. The application of fuzzy logic with data mining makes information more understandable to human.Data mining can have many methods like association rules, classification, clustering. One of the methods of implementing association rules is Apriori algorithm. In this book, A Fuzzy Apriori System is built; it uses Apriori algorithm alone, then Apriori algorithm with the application of fuzzy logic to find association rules. It will find the relationships among items stored in a supermarket to present knowledge about the relations among items sold in the supermarket. From the experimental results, it was found that fuzzy functions filters the results and make number of extracted rules less than the number of rules extracted by applying Apriori algorithm only. And this reduction depends on the nature of the processed dataset. 88 pp. Englisch.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohammad Abood AmanyAssistant Lecturer Amany M. Abood (MSc in computer science) worked in academic field for nine years. Amany, Assistant Lecturer Maysam S. Hussein (MSc in in computer engineering) and Juan Hassan (BSc in communicati.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. It is used to automatically extract structured knowledge from large datasets. The application of fuzzy logic with data mining makes information more understandable to human.Data mining can have many methods like association rules, classification, clustering. One of the methods of implementing association rules is Apriori algorithm. In this book, A Fuzzy Apriori System is built; it uses Apriori algorithm alone, then Apriori algorithm with the application of fuzzy logic to find association rules. It will find the relationships among items stored in a supermarket to present knowledge about the relations among items sold in the supermarket. From the experimental results, it was found that fuzzy functions filters the results and make number of extracted rules less than the number of rules extracted by applying Apriori algorithm only. And this reduction depends on the nature of the processed dataset.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. It is used to automatically extract structured knowledge from large datasets. The application of fuzzy logic with data mining makes information more understandable to human.Data mining can have many methods like association rules, classification, clustering. One of the methods of implementing association rules is Apriori algorithm. In this book, A Fuzzy Apriori System is built; it uses Apriori algorithm alone, then Apriori algorithm with the application of fuzzy logic to find association rules. It will find the relationships among items stored in a supermarket to present knowledge about the relations among items sold in the supermarket. From the experimental results, it was found that fuzzy functions filters the results and make number of extracted rules less than the number of rules extracted by applying Apriori algorithm only. And this reduction depends on the nature of the processed dataset.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.