Advances in Knowledge Discovery and Data Mining (Paperback)

Tru Cao

ISBN 10: 3319180371 / ISBN 13: 9783319180373

Published by Springer International Publishing AG, Cham, 2015

About this Item

Paperback. This two-volume set, 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 proceedings contain 117 paper 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-modeling; itemset and high-performance data mining; and recommendations. This two-volume set, 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 proceedings contain 117 paper carefully reviewed and selected from 405 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783319180373

Bibliographic Details

• Title: Advances in Knowledge Discovery and Data Mining (Paperback)
• Publisher: Springer International Publishing AG, Cham
• Publication Date: 2015
• Language: English
• ISBN 10: 3319180371
• ISBN 13: 9783319180373
• Binding: Paperback
• Condition: new

About this title

Synopsis

This two-volume set, 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 proceedings contain 117 paper 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-modeling; itemset and high-performance data mining; and recommendations.