Advances in Knowledge Discovery and Data Mining : 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II

Name: Advances in Knowledge Discovery and Data Mining
Brand: Springer Nature Switzerland AG
SKU: 9783030161446
Price: 12600 KES
Availability: OutOfStock
ISBN: 9783030161446

2019 ed.

Book Details

Format Paperback / softback

Book Series Lecture Notes in Computer Science

ISBN-10 3030161447

ISBN-13 9783030161446

Edition 2019 ed.

Publisher Springer Nature Switzerland AG

Imprint Springer Nature Switzerland AG

Country of Manufacture GB

Country of Publication GB

Publication Date Mar 23rd, 2019

Print length 631 Pages

Weight 988 grams

Dimensions 23.30 x 15.70 x 3.80 cms

Product Classification: Social research & statistics Social research and statistics Digital and Information technology: general topics Information technology: general issues Data mining Computer security Network security Artificial intelligence Artificial intelligence (AI)Expert systems / knowledge-based systems Computer vision

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The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions.

The 137 full papers presented were carefully reviewed and selected from 542 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: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature

selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

Get Advances in Knowledge Discovery and Data Mining by Min-Ling Zhang at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has 631 pages.