Name: Advances in Knowledge Discovery and Data Mining: 19Th Pacific-Asia Conference, Pakdd 2015, ho chi Minh City, Vietnam, may 19-22, 2015, Proceedings, Part i (Lecture Notes in Computer Science) (en Inglés)
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ISBN: 9783319180373

portada Advances in Knowledge Discovery and Data Mining: 19Th Pacific-Asia Conference, Pakdd 2015, ho chi Minh City, Vietnam, may 19-22, 2015, Proceedings, Part i (Lecture Notes in Computer Science) (en Inglés)

Advances in Knowledge Discovery and Data Mining: 19Th Pacific-Asia Conference, Pakdd 2015, ho chi Minh City, Vietnam, may 19-22, 2015, Proceedings, Part i (Lecture Notes in Computer Science) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Año

2015

Idioma

Inglés

N° páginas

796

Encuadernación

Tapa Blanda

ISBN13

9783319180373

N° edición

2015

Categorías

Inteligencia artificial

Advances in Knowledge Discovery and Data Mining: 19Th Pacific-Asia Conference, Pakdd 2015, ho chi Minh City, Vietnam, may 19-22, 2015, Proceedings, Part i (Lecture Notes in Computer Science) (en Inglés)

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Reseña del libro "Advances in Knowledge Discovery and Data Mining: 19Th Pacific-Asia Conference, Pakdd 2015, ho chi Minh City, Vietnam, may 19-22, 2015, Proceedings, Part i (Lecture Notes in Computer Science) (en Inglés)"

The two-volume proceedings, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015.The total of 117 paper presented in the proceedings was carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high dimensional, and sequential data; entity resolution and topic-modelling; itemset and high performance data mining; and recommendation.