Buch, Englisch, 372 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 6495 g
Computational Intelligence for Real-Life Applications
Buch, Englisch, 372 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 6495 g
Reihe: Advances in Computer Vision and Pattern Recognition
ISBN: 978-3-319-38060-5
Verlag: Springer International Publishing
This must-read text/reference presents an overview of smart information systems for both the private and public sector, highlighting the research questions that can be studied by applying computational intelligence.
The book demonstrates how to transform raw data into effective smart information services, covering the challenges and potential of this approach. Each chapter describes the algorithms, tools, measures and evaluations used to answer important questions. This is then further illustrated by a diverse selection of case studies reflecting genuine problems faced by SMEs, multinational manufacturers, service companies, and the public sector.
Topics and features: provides a state-of-the-art introduction to the field, integrating contributions from both academia and industry; includes numerous individual use cases, which outline the need for smart information systems that help in typical situations faced by many on a daily basis; reviews novel information aggregation services that illustrate how textual data can be employed to generate smart information services; discusses personalization and recommendation systems that tailor information based on users’ individual preferences; examines sensor-based knowledge acquisition services, describing how the analysis of sensor data can be used to provide a clear picture of our world.
Offering practical and accessible guidance for the application of computational intelligence to solving real-world problems, this volume will prove invaluable to researchers and professionals involved in information retrieval, machine learning and data analysis.
Dr. Frank Hopfgartner is Director of the Competence Center Information Retrieval and Machine Learning of the Distributed Artificial Intelligence Laboratory, and lecturer at the Berlin Institute of Technology, Berlin, Germany.Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I: Smart Information Aggregation Services
Intelligent News Aggregator for German with Sentiment Analysis
Danuta Ploch
Twitter Sentiment Tracking for Predicting Marketing Trends
Cagdas Esiyok and Sahin Albayrak
Health Assistance for Immigrants
Till Plumbaum, Funda Klein-Ellinghaus, Anna Reeske, Kristin Pelz, and Frank Hopfgartner
Information Aggregation in an Enterprise
Erwin Gunadi and Sahin Albayrak
Part II: Personalization and Recommendation Services
Semantic Movie Recommendations
Andreas Lommatzsch
News Recommendation in Real-Time
Benjamin Kille, Andreas Lommatzsch, and Torben Brodt
Personalized Information Access using Semantic Knowledge
Till Plumbaum and Andreas Lommatzsch
Personalized Fashion Advice
Till Plumbaum and Benjamin Kille
Gamification of Workplace Activities
Michael Meder, Brijnesh Johannes Jain, Till Plumbaum, and Frank Hopfgartner
Part III: Sensor-Based Knowledge Acquisition and Signal Processing Services
Optimization of In-House Energy Demand
Stephan Spiegel
Detecting Violent Content in Hollywood Movies and User-Generated Videos
Esra Acar, Melanie Irrgang, Dominique Maniry, and Frank Hopfgartner
Discovery of Driving Behavior Patterns
Stephan Spiegel
Intermodal Mobility Assistance for Megacities
Esra Acar, Marco Lützenberger, and Marius Schulz
