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Web Usage Mining Using Discovered Frequent Pattern Algorithms: Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns - Softcover
Synopsis
Developing word of the web and increasing the content information, web site user’s requirements has been changed. Therefore web needs a dynamic and accurate algorithm to recognize user’s requirements to suggest new patterns. Web mining helps to solve the problem of discovering how users are using Web sites. It involves mining logs (or log analysis) and the steps that typically have to be gone through to get meaningful data from Web logs - data collection, pre-processing, data enrichment and pattern analysis and discovery. This book presents methods, approaches and techniques to perform three main tasks of web usage mining (Preprocessing, Pattern discovery and Pattern analysis). In another part of book discussed techniques of WUM to design Web recommender systems and shown that how WUM can be applied to Web server logs for discovering access patterns. The important part of this book discussed about static and dynamic algorithms that build path tree and extract frequent pattern of web user’s. Finally the dynamic algorithm compared together such as CATS-tree, AFPIM, CAN-tree, CP-tree and I-FARM, In terms of time complexity and executed speed.
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About the Author
Authors:Farid Soleimani, M.sc: computer software engineering. Young Researcher and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran.Elnaz Ataei, M.A: Accounting. Department of Sciences, Ardabil Branch, Islamic Azad University, Ardabil, Iran.
"About this title" may belong to another edition of this title.
- PublisherLAP LAMBERT Academic Publishing
- Publication date2015
- ISBN 10 3659786861
- ISBN 13 9783659786860
- BindingPaperback
- LanguageEnglish
- Number of pages132
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Web Usage Mining Using Discovered Frequent Pattern Algorithms: Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
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Web Usage Mining Using Discovered Frequent Pattern Algorithms: Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
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Web Usage Mining Using Discovered Frequent Pattern Algorithms Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
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Web Usage Mining Using Discovered Frequent Pattern Algorithms Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
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Web Usage Mining Using Discovered Frequent Pattern Algorithms
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Developing word of the web and increasing the content information, web site user's requirements has been changed. Therefore web needs a dynamic and accurate algorithm to recognize user's requirements to suggest new patterns. Web mining helps to solve the problem of discovering how users are using Web sites. It involves mining logs (or log analysis) and the steps that typically have to be gone through to get meaningful data from Web logs - data collection, pre-processing, data enrichment and pattern analysis and discovery. This book presents methods, approaches and techniques to perform three main tasks of web usage mining (Preprocessing, Pattern discovery and Pattern analysis). In another part of book discussed techniques of WUM to design Web recommender systems and shown that how WUM can be applied to Web server logs for discovering access patterns. The important part of this book discussed about static and dynamic algorithms that build path tree and extract frequent pattern of web user's. Finally the dynamic algorithm compared together such as CATS-tree, AFPIM, CAN-tree, CP-tree and I-FARM, In terms of time complexity and executed speed. 132 pp. Englisch. Seller Inventory # 9783659786860
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Web Usage Mining Using Discovered Frequent Pattern Algorithms: Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
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Web Usage Mining Using Discovered Frequent Pattern Algorithms
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Soleimani FaridAuthors:Farid Soleimani, M.sc: computer software engineering. Young Researcher and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran.Elnaz Ataei, M.A: Accounting. Department of Sciences, Ardabil Branch. Seller Inventory # 158962484
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Web Usage Mining Using Discovered Frequent Pattern Algorithms : Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Developing word of the web and increasing the content information, web site user's requirements has been changed. Therefore web needs a dynamic and accurate algorithm to recognize user's requirements to suggest new patterns. Web mining helps to solve the problem of discovering how users are using Web sites. It involves mining logs (or log analysis) and the steps that typically have to be gone through to get meaningful data from Web logs - data collection, pre-processing, data enrichment and pattern analysis and discovery. This book presents methods, approaches and techniques to perform three main tasks of web usage mining (Preprocessing, Pattern discovery and Pattern analysis). In another part of book discussed techniques of WUM to design Web recommender systems and shown that how WUM can be applied to Web server logs for discovering access patterns. The important part of this book discussed about static and dynamic algorithms that build path tree and extract frequent pattern of web user's. Finally the dynamic algorithm compared together such as CATS-tree, AFPIM, CAN-tree, CP-tree and I-FARM, In terms of time complexity and executed speed. Seller Inventory # 9783659786860
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Web Usage Mining Using Discovered Frequent Pattern Algorithms
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ISBN 10: 3659786861
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Developing word of the web and increasing the content information, web site user¿s requirements has been changed. Therefore web needs a dynamic and accurate algorithm to recognize user¿s requirements to suggest new patterns. Web mining helps to solve the problem of discovering how users are using Web sites. It involves mining logs (or log analysis) and the steps that typically have to be gone through to get meaningful data from Web logs - data collection, pre-processing, data enrichment and pattern analysis and discovery. This book presents methods, approaches and techniques to perform three main tasks of web usage mining (Preprocessing, Pattern discovery and Pattern analysis). In another part of book discussed techniques of WUM to design Web recommender systems and shown that how WUM can be applied to Web server logs for discovering access patterns. The important part of this book discussed about static and dynamic algorithms that build path tree and extract frequent pattern of web user¿s. Finally the dynamic algorithm compared together such as CATS-tree, AFPIM, CAN-tree, CP-tree and I-FARM, In terms of time complexity and executed speed.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch. Seller Inventory # 9783659786860
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Web Usage Mining Using Discovered Frequent Pattern Algorithms: Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
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ISBN 13: 9783659786860
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