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020 _a9783319141787
_z978-3-319-14178-7
024 7 _a10.1007/978-3-319-14178-7
_2doi
050 4 _aQA76.575
072 7 _aUG
_2bicssc
072 7 _aCOM034000
_2bisacsh
072 7 _aUG
_2thema006.7
_223
245 1 0 _aSmart Information Systems :
_bComputational Intelligence for Real-Life Applications /
_cedited by Frank Hopfgartner.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _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 _aMultimedia systems.
650 0 _aData mining.
650 0 _aOptical pattern recognition.
650 0 _aInformation Systems.
650 0 _aArtificial intelligence.
650 1 4 _aMultimedia Information Systems.
_0http://scigraph.springernature.com/things/product-market-codes/I18059
650 2 4 _aData Mining and Knowledge Discovery.
_0http://scigraph.springernature.com/things/product-market-codes/I18030
650 2 4 _aPattern Recognition.
_0http://scigraph.springernature.com/things/product-market-codes/I2203X
650 2 4 _aManagement of Computing and Information Systems.
_0http://scigraph.springernature.com/things/product-market-codes/I24067
650 2 4 _aArtificial Intelligence.
_0http://scigraph.springernature.com/things/product-market-codes/I21000
700 1 _aHopfgartner, Frank.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-14178-7
_3Springer eBooks
_zOnline access link to the resource
912 _aZDB-2-SCS
999 _c200434477
_d52689
942 _2lcc
_cEBK
041 _aeng