Tekijänoikeuden erikoiskirjasto

*000      am a        a
*00115188
*008      |        fi     e|     ||| 0|eng||
*020  $a978-3-030-63871-9
*041  $aeng
*084  $a30.11$2ykl
*24500$aTowards digital intelligence society:$ba knowledge-based approach/$cJán Paralič, Peter Sinčák, Pitoyo Hartono, Vladimir Mařík (Eds.)
*264  $aCham:$bSpringer,$c2021.
*300  $a204 s.
*4900 $aAdvances in Intelligent Systems and Computing,$x2194-53457;$v1281
*505  $aMachova, Kristina (et al.). Addressing False Information and Abusive Language in Digital Space Using Intelligent Approaches, Pages 3-32; Čík, Ivan (et al.). Application and Perspectives of Convolutional Neural Networks in Digital Intelligence, Pages 33-58; Blažek, Pavel (et al.). Obstacle Awareness Subsystem for Higher Exoskeleton Safety, Pages 59-71; Bednár, Peter (et al.). Knowledge-Based Approaches to Intelligent Data Analysis, Pages 75-97; Rozinajová, Viera (et al.) Intelligent Analysis of Data Streams, Pages 98-116; Andrešič, David (et al.). Large Astronomical Time Series Pre-processing for Classification Using Artificial Neural Networks, Pages 117-144; Jirkovský, Václav (et al.) Requirements for Information Modelling in Manufacturing, Pages 147-159; Antoni, Ľubomír (et al.). Attribute Exploration in Formal Concept Analysis and Measuring of Pupils’ Computational Thinking, Pages 160-180; Kvet, Michal (et al.) Flower Master Index for Relational Database Selection and Joining, Pages 181-202.
*650 7$adigitalisaatio$2yso/fin$0http://www.yso.fi/onto/yso/p8692
*650 7$abig data$2yso/fin$0http://www.yso.fi/onto/yso/p27202
*650 7$aälytekniikka$0http://www.yso.fi/onto/yso/p27260$2yso/fin
*650 7$atietomallit$0http://www.yso.fi/onto/yso/p25167$2yso/fin
*650 7$adigitaalitekniikka$0http://www.yso.fi/onto/yso/p8567$2yso/fin
*7001 $aParalič, Ján.
*7001 $aSinčák, Peter.
*7001 $aHartono, Pitoyo.
*7001 $aMařík, Vladimir.
*852  $h30.11 TOW
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   This book aims to provide readers with up-to-date knowledge on how to make these technologies smarter. Humanity is now going through difficult times to fight the Covid-19 pandemic. Simultaneously, in these difficult times of physical separation, we can also realize how much digital society technology helps us cope with many difficulties that bring us this time. The authors focus on selected research challenges for intelligent digital society and state-of-the-art methods of how to face them.    The book’s subtitle suggests that a core concept that the reader can study from various points of view in particular book chapters is the knowledge. The knowledge that can help us intelligently face different digital society challenges (Part I of this book); the knowledge extracted from available big data employing intelligent analysis techniques (Part II). For efficient processing and analysis of data, there is a strong need for smart data andinformation modeling techniques (Part III).