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Synopsis
Web sites are one of the well known communication media where very vast information could be spread for visitors’ right to use. In view of the fact that most of the organizations in the world use web sites to exchange a few words their business , running and better service of the web sites is fundamental point for the benefit of users and/or the organization. The focus of this research study was to analyze a Web usage pattern of AMU official Web site based on both statistical and data mining approaches thereby to see the possibility of this approach for Web usage pattern discovery. The statistical analysis was applied to generate basic statistical reports whereas the data mining technique was applied primarily to get the association rules that can reveal the Web pages/ URLs that are most frequently accessed together by the users. It is believed that the statistical analysis is deemed insufficient to give a full picture of how a given Web site is being used.
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The focus of this research study was to analyze a Web usage pattern of AMU official Web site based on both statistical and data mining approaches thereby to see the possibility of this approach for Web usage pattern discovery.
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Web Usage Pattern Discovery using Data mining and Statistical analysis
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LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6133996897
ISBN 13: 9786133996892
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Web sites are one of the well known communication media where very vast information could be spread for visitors' right to use. In view of the fact that most of the organizations in the world use web sites to exchange a few words their business , running and better service of the web sites is fundamental point for the benefit of users and/or the organization. The focus of this research study was to analyze a Web usage pattern of AMU official Web site based on both statistical and data mining approaches thereby to see the possibility of this approach for Web usage pattern discovery. The statistical analysis was applied to generate basic statistical reports whereas the data mining technique was applied primarily to get the association rules that can reveal the Web pages/ URLs that are most frequently accessed together by the users. It is believed that the statistical analysis is deemed insufficient to give a full picture of how a given Web site is being used. 112 pp. Englisch. Seller Inventory # 9786133996892
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Web Usage Pattern Discovery using Data mining and Statistical analysis
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bahiru AmanuelThe focus of this research study was to analyze a Web usage pattern of AMU official Web site based on both statistical and data mining approaches thereby to see the possibility of this approach for Web usage pattern dis. Seller Inventory # 385843671
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Web Usage Pattern Discovery using Data mining and Statistical analysis
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ISBN 10: 6133996897
ISBN 13: 9786133996892
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Web sites are one of the well known communication media where very vast information could be spread for visitors' right to use. In view of the fact that most of the organizations in the world use web sites to exchange a few words their business , running and better service of the web sites is fundamental point for the benefit of users and/or the organization. The focus of this research study was to analyze a Web usage pattern of AMU official Web site based on both statistical and data mining approaches thereby to see the possibility of this approach for Web usage pattern discovery. The statistical analysis was applied to generate basic statistical reports whereas the data mining technique was applied primarily to get the association rules that can reveal the Web pages/ URLs that are most frequently accessed together by the users. It is believed that the statistical analysis is deemed insufficient to give a full picture of how a given Web site is being used. Seller Inventory # 9786133996892
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Web Usage Pattern Discovery using Data mining and Statistical analysis
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ISBN 10: 6133996897
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Paperback. Condition: Brand New. 112 pages. 8.66x5.91x0.26 inches. In Stock. Seller Inventory # zk6133996897
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Web Usage Pattern Discovery using Data mining and Statistical analysis
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LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6133996897
ISBN 13: 9786133996892
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Web sites are one of the well known communication media where very vast information could be spread for visitors' right to use. In view of the fact that most of the organizations in the world use web sites to exchange a few words their business , running and better service of the web sites is fundamental point for the benefit of users and/or the organization. The focus of this research study was to analyze a Web usage pattern of AMU official Web site based on both statistical and data mining approaches thereby to see the possibility of this approach for Web usage pattern discovery. The statistical analysis was applied to generate basic statistical reports whereas the data mining technique was applied primarily to get the association rules that can reveal the Web pages/ URLs that are most frequently accessed together by the users. It is believed that the statistical analysis is deemed insufficient to give a full picture of how a given Web site is being used.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Seller Inventory # 9786133996892
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Web Usage Pattern Discovery using Data mining and Statistical analysis
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Taschenbuch. Condition: Neu. Web Usage Pattern Discovery using Data mining and Statistical analysis | Amanuel Bahiru | Taschenbuch | 112 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786133996892 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 111228647
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