Intelligent Data Engineering and Automated Learning – IDEAL 2017
Springer International Publishing (Verlag)
978-3-319-68934-0 (ISBN)
This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017.
The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
Applied computing.- Artificial intelligence.- Bioinformatics.- Computing methodologies.- Data management systems.- Data mining.- Deep learning.- Information retrieval.- Health informatics.- Human computer interaction.- Machine learning.- Neural informatics.- Neural networks.- Neural systems.- Web applications.- Web mining.
| Erscheinungsdatum | 14.11.2017 |
|---|---|
| Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
| Zusatzinfo | XVI, 609 p. 198 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 936 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | Algorithm analysis and problem complexity • Applications • Applied Computing • Artificial Intelligence • Bioinformatics • Computer Science • Computing Methodologies • conference proceedings • data management systems • Data Mining • data mining and knowledge discovery • Expert systems / knowledge-based systems • Informatics • Informatik • Research |
| ISBN-10 | 3-319-68934-7 / 3319689347 |
| ISBN-13 | 978-3-319-68934-0 / 9783319689340 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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