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Smart Information Systems

  • Livre Relié
  • 372 Nombre de pages
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This must-read text/reference presents an overview of smart information systems for both the private and public sector, highlighti... Lire la suite
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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.

Specifically addresses issues related to handling both small and big data, illustrating the benefits arising from analysing such datasets for the provision of smart information services

Outlines the challenges in the field of smart information services, and considers cutting-edge research projects of national importance

Provides insights and case studies from experts in the field, with extensive experience that bridges both academia and industry


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

Informations sur le produit

Titre: Smart Information Systems
Code EAN: 9783319141770
ISBN: 978-3-319-14177-0
Format: Livre Relié
Editeur: Springer, Berlin
Genre: Informatique
nombre de pages: 372
Poids: 789g
Taille: H19mm x B241mm x T165mm
Année: 2015
Auflage: 2015

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