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001 978-3-319-14178-7
003 DE-He213
005 20200421112231.0
007 cr nn 008mamaa
008 150114s2015 gw | s |||| 0|eng d
020 _a9783319141787
_9978-3-319-14178-7
024 7 _a10.1007/978-3-319-14178-7
_2doi
050 4 _aQA76.575
072 7 _aUG
_2bicssc
072 7 _aCOM034000
_2bisacsh
082 0 4 _a006.7
_223
245 1 0 _aSmart Information Systems
_h[electronic resource] :
_bComputational Intelligence for Real-Life Applications /
_cedited by Frank Hopfgartner.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXII, 372 p. 133 illus., 12 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
505 0 _aPart I: Smart Information Aggregation Services -- Intelligent News Aggregator for German with Sentiment Analysis -- Twitter Sentiment Tracking for Predicting Marketing Trends -- Health Assistance for Immigrants -- Information Aggregation in an Enterprise -- Part II: Personalization and Recommendation Services -- Semantic Movie Recommendations -- News Recommendation in Real-Time -- Personalized Information Access using Semantic Knowledge -- Personalized Fashion Advice -- Gamification of Workplace Activities -- Part III: Sensor-Based Knowledge Acquisition and Signal Processing Services -- Optimization of In-House Energy Demand -- Detecting Violent Content in Hollywood Movies and User-Generated Videos -- Discovery of Driving Behavior Patterns -- Intermodal Mobility Assistance for Megacities.
520 _aThis 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.
650 0 _aComputer science.
650 0 _aData mining.
650 0 _aMultimedia information systems.
650 0 _aArtificial intelligence.
650 0 _aPattern recognition.
650 0 _aManagement information systems.
650 1 4 _aComputer Science.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aPattern Recognition.
650 2 4 _aManagement of Computing and Information Systems.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aHopfgartner, Frank.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319141770
830 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-14178-7
912 _aZDB-2-SCS
942 _cEBK
999 _c57999
_d57999