株式会社極東書店トップ ＞ 商品一覧 ＞ Intelligent Data Engineering and Automated Learning -- IDEAL 2014: 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings. 2014 ed.
商品詳細
Intelligent Data Engineering and Automated Learning -- IDEAL 2014: 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings. 2014 ed.
・ISBN 978-3-319-10839-1 paper EUR 49.99
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お気に入り
★★★
| 著者・編者 | Corchado, Emilio / Lozano, Jose A. / Quintian, Hector / Yin, Hujun (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2014 |
| ページ数 | 508 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-91979＞ |
解説
This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014.
The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.
The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.