Ragupathi abirami (36 résultats)

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : As New. Unread book in perfect condition.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Opinion mining is used to improve the decision making of new user in various domains such as product, movie, news media, social networking shares etc. Feature based opinion mining rely only on single domain corpus in most of the existing methodology. Feature based opinion mining in two different domain corpuses is complex. The features and Opinion words are extracted with the help of the Part-of-Speech (PoS) tagging tool. The Inter dependent domain relevance (IDDR) technique use removal of redundant features and pruning of irrelevant features from two different domains with the help of the IDDR score and threshold value. Normally data mining and machine learning use training and test data from same domain and have same feature. But the above concept is not hold in all domains due to the lack of labeled dataset. Here the proposed transfer learning method using Exaggerate Instance weighted K nearest neighbor (EIWKNN) algorithm to transfer the knowledge from camera domain to iPod domain for Opinion classification. The summary of two different domains feature with respect to their opinion is generated.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sekaran RameshDr. S. Ramesh, Faculty in the Department of Computer Science and Engineering at Anna University Regional Centre, Madurai. Received his Ph.D in Information and Communication Engineering by 2015 from Anna University, Chen.…

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - La minería de opiniones se utiliza para mejorar la toma de decisiones de nuevos usuarios en diversos ámbitos, como productos, películas, noticias, redes sociales, etc. En la mayoría de las metodologías existentes, la minería de opinión basada en características se basa en un único corpus de dominio. La minería de opinión basada en características en dos corpus de dominio diferentes es compleja. Las características y las palabras de opinión se extraen con la ayuda de la herramienta de etiquetado Part-of-Speech (PoS). La técnica de relevancia interdominio dependiente (IDDR) utiliza la eliminación de características redundantes y la poda de características irrelevantes de dos dominios diferentes con la ayuda de la puntuación IDDR y el valor umbral. Normalmente, la minería de datos y el aprendizaje automático utilizan datos de entrenamiento y de prueba del mismo dominio y tienen las mismas características. Pero el concepto anterior no es válido en todos los dominios debido a la falta de datos etiquetados. En este caso, el método de aprendizaje de transferencia propuesto utiliza el algoritmo Exaggerate Instance weighted K nearest neighbor (EIWKNN) para transferir el conocimiento del dominio de la cámara al dominio del iPod para la clasificación de opiniones. Se genera el resumen de las características de dos dominios diferentes con respecto a su opinión.…

Paperback. Etat : Brand New. 76 pages. Portuguese language. 6.00x0.18x9.00 inches. In Stock. This item is printed on demand.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - L'opinion mining viene utilizzato per migliorare il processo decisionale di un nuovo utente in vari domini, quali prodotti, film, news media, condivisioni sui social network, ecc. Nella maggior parte delle metodologie esistenti, l'estrazione delle opinioni basata sulle caratteristiche si basa solo su un singolo corpus di dominio. L'estrazione delle opinioni basata sulle caratteristiche in due corpora di dominio diversi è complessa. Le caratteristiche e le parole di opinione vengono estratte con l'aiuto dello strumento di etichettatura Part-of-Speech (PoS). La tecnica Inter dependent domain relevance (IDDR) utilizza la rimozione delle caratteristiche ridondanti e la potatura delle caratteristiche irrilevanti da due domini diversi con l'aiuto del punteggio IDDR e del valore di soglia. Normalmente il data mining e l'apprendimento automatico utilizzano dati di addestramento e di test provenienti dallo stesso dominio e con le stesse caratteristiche. Ma il concetto di cui sopra non è valido in tutti i domini a causa della mancanza di set di dati etichettati. Il metodo di apprendimento di trasferimento proposto utilizza l'algoritmo Exaggerate Instance weighted K nearest neighbor (EIWKNN) per trasferire la conoscenza dal dominio della telecamera al dominio dell'iPod per la classificazione delle opinioni. Viene generata la sintesi delle caratteristiche di due domini diversi rispetto alla loro opinione.…

Etat : New. Print on Demand.

Etat : New. Print on Demand.