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.
