Inhaltsangabe
In modern era people get more and more dependent on internet for every type of information. To extract user's interested access pattern of web click stream data, Web Usage Mining is an application of this type of techniques. Record of different web user's web using pattern are get stored in web log repository, which are great source of knowledge about user's navigation. With increasing the use of internet, number of web sites and web pages are increasing rapidly so web usage mining become problematic for many application such as design, personalization, analysis of traffic, usability-studies, etc. But analyze and discovering user's interesting patterns are necessary for web administrator and recommendation system. In this, mining techniques are applied to web data for finding user's interesting patterns. That means in which patterns user want to access web pages and web-sites. This work is focus on graph based web usage mining. Normally this technique consume more time if data is available in huge amount. Hence an approach has been made to reduce the time complexity in efficient manner. We make the use of new graph based approach for mine user behaviour.
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Ankur Shah has worked with various engineering institute for last 8 years in India. He has completed BE and ME in computer engineering. His area of interest is Database, Data Mining, Web Mining, Data Warehouse etc. He has already wrote 2 books on database management system. He is also guide of various students for their dissertation work.
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Graph Based Web Recommendation System to Improve Time Efficiency
Verlag:
LAP LAMBERT Academic Publishing Dez 2014, 2014
ISBN 10: 3659666092
ISBN 13: 9783659666094
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In modern era people get more and more dependent on internet for every type of information. To extract user's interested access pattern of web click stream data, Web Usage Mining is an application of this type of techniques. Record of different web user's web using pattern are get stored in web log repository, which are great source of knowledge about user's navigation. With increasing the use of internet, number of web sites and web pages are increasing rapidly so web usage mining become problematic for many application such as design, personalization, analysis of traffic, usability-studies, etc. But analyze and discovering user's interesting patterns are necessary for web administrator and recommendation system. In this, mining techniques are applied to web data for finding user's interesting patterns. That means in which patterns user want to access web pages and web-sites. This work is focus on graph based web usage mining. Normally this technique consume more time if data is available in huge amount. Hence an approach has been made to reduce the time complexity in efficient manner. We make the use of new graph based approach for mine user behaviour. 60 pp. Englisch. Bestandsnummer des Verkäufers 9783659666094
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Graph Based Web Recommendation System to Improve Time Efficiency
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659666092
ISBN 13: 9783659666094
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shah AnkurAnkur Shah has worked with various engineering institute for last 8 years in India. He has completed BE and ME in computer engineering. His area of interest is Database, Data Mining, Web Mining, Data Warehouse etc. He has a. Bestandsnummer des Verkäufers 5171324
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Graph Based Web Recommendation System to Improve Time Efficiency
Verlag:
LAP LAMBERT Academic Publishing Dez 2014, 2014
ISBN 10: 3659666092
ISBN 13: 9783659666094
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In modern era people get more and more dependent on internet for every type of information. To extract user's interested access pattern of web click stream data, Web Usage Mining is an application of this type of techniques. Record of different web user's web using pattern are get stored in web log repository, which are great source of knowledge about user's navigation. With increasing the use of internet, number of web sites and web pages are increasing rapidly so web usage mining become problematic for many application such as design, personalization, analysis of traffic, usability-studies, etc. But analyze and discovering user's interesting patterns are necessary for web administrator and recommendation system. In this, mining techniques are applied to web data for finding user's interesting patterns. That means in which patterns user want to access web pages and web-sites. This work is focus on graph based web usage mining. Normally this technique consume more time if data is available in huge amount. Hence an approach has been made to reduce the time complexity in efficient manner. We make the use of new graph based approach for mine user behaviour.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Bestandsnummer des Verkäufers 9783659666094
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Graph Based Web Recommendation System to Improve Time Efficiency
Verlag:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659666092
ISBN 13: 9783659666094
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In modern era people get more and more dependent on internet for every type of information. To extract user's interested access pattern of web click stream data, Web Usage Mining is an application of this type of techniques. Record of different web user's web using pattern are get stored in web log repository, which are great source of knowledge about user's navigation. With increasing the use of internet, number of web sites and web pages are increasing rapidly so web usage mining become problematic for many application such as design, personalization, analysis of traffic, usability-studies, etc. But analyze and discovering user's interesting patterns are necessary for web administrator and recommendation system. In this, mining techniques are applied to web data for finding user's interesting patterns. That means in which patterns user want to access web pages and web-sites. This work is focus on graph based web usage mining. Normally this technique consume more time if data is available in huge amount. Hence an approach has been made to reduce the time complexity in efficient manner. We make the use of new graph based approach for mine user behaviour. Bestandsnummer des Verkäufers 9783659666094
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EUR 39,90
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Graph Based Web Recommendation System to Improve Time Efficiency
Verlag:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659666092
ISBN 13: 9783659666094
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Taschenbuch. Zustand: Neu. Graph Based Web Recommendation System to Improve Time Efficiency | Ankur Shah (u. a.) | Taschenbuch | 60 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659666094 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 104928462
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