Intelligent Data Engineering and Automated Learning – IDEAL 2015
16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings
Seiten
2015
|
1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-24833-2 (ISBN)
Springer International Publishing (Verlag)
978-3-319-24833-2 (ISBN)
This book constitutes the refereed proceedings of the16th International Conference on Intelligent Data Engineering and AutomatedLearning, IDEAL 2015, held in Wroclaw, Poland, in October 2015.
The 64 revised full papers presented were carefullyreviewed and selected from 127 submissions. These papers provided a valuablecollection of recent research outcomes in data engineering and automatedlearning, from methodologies, frameworks, and techniques to applications. Inaddition to various topics such as evolutionary algorithms, neural networks,probabilistic modeling, swarm intelligent, multi-objective optimization, andpractical applications in regression, classification, clustering, biologicaldata processing, text processing, video analysis, IDEAL 2015 also featured anumber of special sessions on several emerging topics such as computationalintelligence for optimization of communication networks, discovering knowledgefromdata, simulation-driven DES-like modeling and performance evaluation, andintelligent applications in real-world problems.Evolutionary algorithms.- Neural networks.- Probabilistic modeling.- Swarm intelligent, multi-objective optimization, and practical applications in regression.- Classification.- Clustering.-Biological data processing.- Text processing.- Video analysis.- Computational intelligence for optimization of communication networks.- Discovering knowledge from data.- Simulation-driven DES-like modeling and performance evaluation.- Intelligent applications in real-world problems.
Erscheinungsdatum | 20.10.2015 |
---|---|
Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
Zusatzinfo | XX, 560 p. 153 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
Informatik ► Theorie / Studium ► Algorithmen | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Algorithm analysis and problem complexity • artificial intelligence (incl. robotics) • Bioinformatics • Cloud Computing • combinatorial optimization • computation by abstract devices • Computer Science • computer vision problems • Data Mining • data mining and knowledge discovery • Data streams • Distributed Artificial Intelligence • evolutionary computation • Genetic algorithms • Information Retrieval • Information storage and retrieval • Intrusion Detection • machine learning • Multi-agent Systems • Neural networks • Parallel Computing • pattern recognition • Recommender Systems • semantic web • Semi-Supervised Learning • Social Networks |
ISBN-10 | 3-319-24833-2 / 3319248332 |
ISBN-13 | 978-3-319-24833-2 / 9783319248332 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Datenanalyse für Künstliche Intelligenz
Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
CHF 104,90
Auswertung von Daten mit pandas, NumPy und IPython
Buch | Softcover (2023)
O'Reilly (Verlag)
CHF 62,85