Tejasree samakoti (64 résultats)

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Paperback. Etat : Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

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Taschenbuch. Etat : 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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Taschenbuch. Etat : 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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Taschenbuch. Etat : 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.…

Paperback. Etat : new. Paperback. Cet ouvrage traite de l'extraction de donnees sur le Web, c'est-a-dire a partir de bases de donnees en ligne, a l'aide de l'annotation. Ces bases de donnees sont accessibles via une interface Web basee sur des formulaires HTML. Lorsqu'une requete est soumise au moteur de recherche, des informations peuvent etre extraites. Pages de resultats renvoyees par les bases de donnees en ligne. Une base de donnees en ligne comporte plusieurs enregistrements de resultats de recherche. Les etiquettes semantiques des unites de donnees ne sont pas presentees dans les pages de resultats. Disposer d'etiquettes semantiques pour les unites de donnees est important non seulement pour la tache de mise en relation des enregistrements mentionnee ci-dessus, mais aussi pour stocker les SRR collectes dans une table de base de donnees. Les premieres applications necessitaient une intervention humaine pour annoter manuellement les unites de donnees. Cela presente une evolutivite limitee. Dans cet article, nous examinons comment attribuer automatiquement des etiquettes aux unites de donnees au sein des SRR renvoyes par les bases de donnees Web (WDB) et ameliorer les resultats a l'aide de methodes de regroupement telles que BIRCH et ROCK. La premiere etape consiste a regrouper les unites de donnees d'une page de resultats en differents groupes, de sorte que les donnees d'un meme groupe partagent une meme semantique. Grace a l'utilisation d'un Annotation wrapper, les connaissances peuvent etre extrait This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Spanisch.

Etat : 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.…

Etat : 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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Taschenbuch. Etat : 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.…

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Französisch.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Este libro trata sobre la extracción de datos de la web -es decir, de bases de datos en línea- mediante el uso de anotaciones. Se puede acceder a estas bases de datos a través de una interfaz basada en formularios HTML. Al introducir una consulta en el motor de búsqueda, se puede extraer información. Páginas de resultados devueltas por las bases de datos en línea. Una base de datos en línea contiene múltiples registros de resultados de búsqueda. Las etiquetas semánticas de las unidades de datos no aparecen en las páginas de resultados. Contar con etiquetas semánticas para las unidades de datos no solo es importante para la tarea de vinculación de registros mencionada anteriormente, sino también para almacenar los SRR recopilados en una tabla de base de datos. Las primeras aplicaciones requerían intervención humana para anotar manualmente las unidades de datos, lo que limitaba su escalabilidad. En este artículo, analizamos cómo asignar automáticamente etiquetas a las unidades de datos dentro de los SRR devueltos por las bases de datos web (WDB) y mejorar los resultados mediante métodos de agrupamiento, concretamente BIRCH y ROCK. En primer lugar, se agrupan las unidades de datos de una página de resultados en diferentes grupos, de modo que los datos de un mismo grupo compartan la misma semántica. Mediante el uso de un 'envoltorio de anotación', se puede extraer conocimiento de las bases de datos web.…