Knowledge Management and Acquisition for Intelligent Systems
14th Pacific Rim Knowledge Acquisition Workshop, PKAW 2016, Phuket, Thailand, August 22-23, 2016, Proceedings
Editors: Ohwada, Hayato, Yoshida, Kenichi (Eds.)
Free PreviewBuy this book
- About this book
-
This book constitutes the proceedings of the 14th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2016, held in Phuket, Thailand, in August 2016. The 16 full papers and 5 short papers included in this volume were carefully reviewed and selected from 61 initial submissions. They deal with knowledge acquisition and machine learning; knowledge acquisition and natural language processing; knowledge acquisition from network and big data; and knowledge acquisition and applications.
- Table of contents (21 chapters)
-
-
Abbreviation Identification in Clinical Notes with Level-wise Feature Engineering and Supervised Learning
Pages 3-17
-
A New Hybrid Rough Set and Soft Set Parameter Reduction Method for Spam E-Mail Classification Task
Pages 18-30
-
Combining Feature Selection with Decision Tree Criteria and Neural Network for Corporate Value Classification
Pages 31-42
-
Learning Under Data Shift for Domain Adaptation: A Model-Based Co-clustering Transfer Learning Solution
Pages 43-54
-
Robust Modified ABC Variant (JA-ABC5b) for Solving Economic Environmental Dispatch (EED)
Pages 55-67
-
Table of contents (21 chapters)
- Download Preface 1 PDF (42.9 KB)
- Download Sample pages 2 PDF (1,016.1 KB)
- Download Table of contents PDF (65.3 KB)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Knowledge Management and Acquisition for Intelligent Systems
- Book Subtitle
- 14th Pacific Rim Knowledge Acquisition Workshop, PKAW 2016, Phuket, Thailand, August 22-23, 2016, Proceedings
- Editors
-
- Hayato Ohwada
- Kenichi Yoshida
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 9806
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-42706-5
- DOI
- 10.1007/978-3-319-42706-5
- Softcover ISBN
- 978-3-319-42705-8
- Edition Number
- 1
- Number of Pages
- X, 281
- Number of Illustrations
- 91 b/w illustrations
- Topics
