Advances in Knowledge Discovery and Data Mining
20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
Editors: Bailey, J., Khan, L., Washio, T., Dobbie, G., Huang, J.Z., Wang, R. (Eds.)
Free PreviewBuy this book
- About this book
-
This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016.
The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.
- Table of contents (47 chapters)
-
-
Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation
Pages 3-13
-
Hybrid Sampling with Bagging for Class Imbalance Learning
Pages 14-26
-
Sparse Adaptive Multi-hyperplane Machine
Pages 27-39
-
Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior
Pages 40-51
-
Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning
Pages 52-64
-
Table of contents (47 chapters)
- Download Preface 1 PDF (47.1 KB)
- Download Sample pages 2 PDF (269.4 KB)
- Download Table of contents PDF (141.1 KB)
Recommended for you

Bibliographic Information
- Bibliographic Information
-
- Book Title
- Advances in Knowledge Discovery and Data Mining
- Book Subtitle
- 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
- Editors
-
- James Bailey
- Latifur Khan
- Takashi Washio
- Gill Dobbie
- Joshua Zhexue Huang
- Ruili Wang
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 9651
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-31753-3
- DOI
- 10.1007/978-3-319-31753-3
- Softcover ISBN
- 978-3-319-31752-6
- Edition Number
- 1
- Number of Pages
- XXIV, 608
- Number of Illustrations
- 184 b/w illustrations
- Topics