LEADER 05157nam 22005655 450 001 9910483135103321 005 20230810170309.0 010 $a3-030-39250-3 024 7 $a10.1007/978-3-030-39250-5 035 $a(CKB)4100000010480290 035 $a(MiAaPQ)EBC6114430 035 $a(DE-He213)978-3-030-39250-5 035 $a(PPN)243769695 035 $a(EXLCZ)994100000010480290 100 $a20200213d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science: New Issues, Challenges and Applications /$fedited by Gintautas Dzemyda, Jolita Bernatavi?ien?, Janusz Kacprzyk 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (325 pages) $cillustrations 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v869 300 $aIncludes index. 311 $a3-030-39249-X 327 $aObject Detection in Aerial Photos Using Neural Networks -- Modelling and Control of Human Response to a Dynamic Virtual 3D Face -- Knowledge-Based Transformation Algorithms of UML Dynamic Models Generation from Enterprise Model -- An Approach for Networking of Wireless Sensors and Embedded Systems Applied for Monitoring of Environment Data -- Non-Standard Distances in High Dimensional Raw Data Stream Classi?cation -- Data Analysis in Setting Action Plans of Telecom Operators -- Extending Model-Driven Development Process with Causal Modeling Approach -- Discrete Competitive Facility Location by Ranking Candidate Locations -- Investigating Feature Spaces for Isolated Word Recognition -- Developing Algorithmic Thinking Through Computational Making -- Improving Objective Speech Quality Indicators in Noise Conditions -- Investigation of User Vulnerability in Social Networking Site -- Zerocross Density Decomposition: a Novel Signal Decomposition Method -- DSS ? A Class of Evolving Information Systems -- A Deep Knowledge-Based Evaluation of Enterprise Applications Interoperability -- Sentiment-Based Decision Making Model for Financial Markets. 330 $aThis book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a wealth of issues in, and applications of, data science. Modern technologies allow us to store and transfer large amounts of data quickly. They can be very diverse - images, numbers, streaming, related to human behavior and physiological parameters, etc. Whether the data is just raw numbers, crude images, or will help solve current problems and predict future developments, depends on whether we can effectively process and analyze it. Data science is evolving rapidly. However, it is still a very young field. In particular, data science is concerned with visualizations, statistics, pattern recognition, neurocomputing, image analysis, machine learning, artificial intelligence, databases and data processing, data mining, big data analytics, and knowledge discovery in databases. It also has many interfaces with optimization, block chaining, cyber-social and cyber-physical systems, Internet of Things (IoT), social computing, high-performance computing, in-memory key-value stores, cloud computing, social computing, data feeds, overlay networks, cognitive computing, crowdsource analysis, log analysis, container-based virtualization, and lifetime value modeling. Again, all of these areas are highly interrelated. In addition, data science is now expanding to new fields of application: chemical engineering, biotechnology, building energy management, materials microscopy, geographic research, learning analytics, radiology, metal design, ecosystem homeostasis investigation, and many others. . 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v869 606 $aEngineering$xData processing 606 $aComputational intelligence 606 $aData Engineering 606 $aComputational Intelligence 615 0$aEngineering$xData processing. 615 0$aComputational intelligence. 615 14$aData Engineering. 615 24$aComputational Intelligence. 676 $a006.3 676 $a006.3 702 $aDzemyda$b Gintautas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBernatavi?ien?$b Jolita$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKacprzyk$b Janusz$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483135103321 996 $aData Science$91562261 997 $aUNINA