Current Approaches in Applied Artificial Intelligence

Moonis Ali

ISBN 10: 3319190652 / ISBN 13: 9783319190655

Published by Springer, Springer Mai 2015, 2015

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the refereed conference proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, held in Seoul, South Korea, in June 2015. The 73 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers cover a wide range of topics in applied artificial intelligence including reasoning, robotics, cognitive modeling, machine learning, pattern recognition, optimization, text mining, social network analysis, and evolutionary algorithms. They are organized in the following topical sections: theoretical AI, knowledge-based systems, optimization, Web and social networks, machine learning, classification, unsupervised learning, vision, image and text processing, and intelligent systems applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 776 pp. Englisch.

Seller Inventory # 9783319190655

Bibliographic Details

• Title: Current Approaches in Applied Artificial Intelligence
• Publisher: Springer, Springer Mai 2015
• Publication Date: 2015
• Language: English
• ISBN 10: 3319190652
• ISBN 13: 9783319190655
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 42D millimeters 235 millimeters width by 155 millimeters height by 42 millimeters depth
• Weight: 1153 grams

About this title

Synopsis

This book constitutes the refereed conference proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, held in Seoul, South Korea, in June 2015. The 73 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers cover a wide range of topics in applied artificial intelligence including reasoning, robotics, cognitive modeling, machine learning, pattern recognition, optimization, text mining, social network analysis, and evolutionary algorithms. They are organized in the following topical sections: theoretical AI, knowledge-based systems, optimization, Web and social networks, machine learning, classification, unsupervised learning, vision, image and text processing, and intelligent systems applications.