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Taschenbuch. Condition: Neu. Techniques to retrieve the useful information from web | Tejasree Samakoti (u. a.) | Taschenbuch | 68 S. | Englisch | 2017 | Scholars' Press | EAN 9783659845864 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals about Extracting the data from the web that means online database by using annotating. Databases are web accessible through HTML form based interface. When query is given to the search engine knowledge can be extracted. Results pages returned from the Online Databases. An online database has multiple search result records. Semantic labels of the data units are not presented in result pages. Having semantic labels for data units is not only important for the above record linkage task, but also for storing collected SRRs into a database table. Early applications require human efforts to annotate data units manually. This is having limit scalability. In this paper, we consider how to automatically assign labels to the data units within the SRRs returned from WDBs improve the results by using clustering methods that is BIRCH and ROCK. First aligns the data units on a result page into different groups such that the data in the same group having same semantics. By using Annotation wrapper knowledge can be extracted from the web databases. 68 pp. Englisch.
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Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Samakoti TejasreeProf Tejasree Samakoti is a research scholar in VIT University,Vellore and also working as assistant professor in Department of Computer Science in SV College of Enginnering(SVCE) Tirupati. She completed her M.Tech i.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kandala Manoj KumarProf. Manoj Kumar Kandala, working as Assistant Professor in Department of Computer Science in Sri Venkateswara College of Engineering (SVCE), Tirupati. He completed his M.E (CSE) Degree in Sathyabama University, C.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals about Extracting the data from the web that means online database by using annotating. Databases are web accessible through HTML form based interface. When query is given to the search engine knowledge can be extracted. Results pages returned from the Online Databases. An online database has multiple search result records. Semantic labels of the data units are not presented in result pages. Having semantic labels for data units is not only important for the above record linkage task, but also for storing collected SRRs into a database table. Early applications require human efforts to annotate data units manually. This is having limit scalability. In this paper, we consider how to automatically assign labels to the data units within the SRRs returned from WDBs improve the results by using clustering methods that is BIRCH and ROCK. First aligns the data units on a result page into different groups such that the data in the same group having same semantics. By using Annotation wrapper knowledge can be extracted from the web databases.
Language: English
Published by Scholars' Press Jan 2017, 2017
ISBN 10: 3659845868 ISBN 13: 9783659845864
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book deals about Extracting the data from the web that means online database by using annotating. Databases are web accessible through HTML form based interface. When query is given to the search engine knowledge can be extracted. Results pages returned from the Online Databases. An online database has multiple search result records. Semantic labels of the data units are not presented in result pages. Having semantic labels for data units is not only important for the above record linkage task, but also for storing collected SRRs into a database table. Early applications require human efforts to annotate data units manually. This is having limit scalability. In this paper, we consider how to automatically assign labels to the data units within the SRRs returned from WDBs improve the results by using clustering methods that is BIRCH and ROCK. First aligns the data units on a result page into different groups such that the data in the same group having same semantics. By using Annotation wrapper knowledge can be extracted from the web databases.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.