Name: Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, Pakdd 2020, Singapore, May 11-14, 2020, Proceedings, Part I (en Inglés)
Price: 119.39 USD
Availability: InStock
Author: Lauw, Hady W. ; Wong, Raymond Chi-Wing ; Ntoulas, Alexandros
ISBN: 9783030474256

portada Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, Pakdd 2020, Singapore, May 11-14, 2020, Proceedings, Part I (en Inglés)

Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, Pakdd 2020, Singapore, May 11-14, 2020, Proceedings, Part I (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Lauw, Hady W. ; Wong, Raymond Chi-Wing ; Ntoulas, Alexandros

Idioma

Inglés

N° páginas

886

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 4.6 cm

Peso

1.27 kg.

ISBN13

9783030474256

Categorías

Ciencia y análisis de datos: generalidades
Análisis y captura de datos
Reconocimiento de formas
Visión por ordenador
Interacción persona-ordenador

Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, Pakdd 2020, Singapore, May 11-14, 2020, Proceedings, Part I (en Inglés)

Lauw, Hady W. ; Wong, Raymond Chi-Wing ; Ntoulas, Alexandros (Autor) · Springer · Tapa Blanda

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Reseña del libro "Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, Pakdd 2020, Singapore, May 11-14, 2020, Proceedings, Part I (en Inglés)"

The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.