This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003.The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.
| ISBN: | 9783540405504 |
| Publication date: | 29th July 2003 |
| Author: | Jiming Liu, Yiuming Cheung, Hujun Yin |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 1146 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Artificial intelligence Data warehousing Information retrieval Mathematical theory of computation Business mathematics and systems Algorithms and data structures Databases Business applications |
This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003.The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.
Intelligent Data Engineering and Automated Learning features in the following genres: Artificial intelligence, Data warehousing, Information retrieval, Mathematical theory of computation, Business mathematics and systems, Algorithms and data structures, Databases, Business applications
Paperback. Not Available.
Intelligent Data Engineering and Automated Learning was written by Jiming Liu, Yiuming Cheung, Hujun Yin and published by Springer an imprint of Springer Berlin Heidelberg
Intelligent Data Engineering and Automated Learning has 1,146 pages
Yes it is part of Lecture Notes in Computer Science series