Data Science in Applications
Description
This book provides a forum for presenting and discussing new and promising ideas in the broadly understood data science field and scope. Data science is a broad discipline. Related and partially overlapping fields are data mining, pattern recognition, neurocomputing, statistics, mathematics, data visualisation, databases, data processing, knowledge discovery in databases, big data analysis, computer science, cloud computing, machine learning, and artificial intelligence. Recent research has focused on unlocking the new possibilities of artificial intelligence, not only from a theoretical point of view but also from an applied perspective. In light of recent developments and trends in these fields, the topics covered in the book have been expanded and extended to include various aspects of artificial intelligence (AI), advanced data analysis, data analytics, machine learning, and multimedia, both from a theoretical and a practical application perspective. All of these are coming together, so we are seeing a variety of AI-driven approaches.
This book contains 12 chapters by data science researchers. They are divided into "AI-supported multimedia systems" and "Developments, challenges, and applications of advanced data analysis and machine learning." The first part of the book contains chapters that discuss various aspects of multimedia systems, notably text, voice, and image, in particular from the point of view of how new developments in AI, advanced data analyses, etc., can provide new, effective and efficient, tools and techniques, maybe even imply research and implementation breakthroughs. The second part of the book, "Developments, challenges and applications of advanced data analysis and machine learning," is concerned with various aspects, problems, solutions, and applications for new sophisticated tools and techniques of data analyses, data analytics, and machine learning providing tools and techniques to take advantage of what is available in data.
More details
Other editions
Additional editions
Persons
Janusz Kacprzyk is Professor of Computer Science at the Systems Research Institute, Polish Academy of Sciences, WIT - Warsaw School of Information Technology, AGH University of Science and Technology in Cracow, and Professor of Automatic Control at PIAP - Industrial Institute of Automation and Measurements in Warsaw, Poland. He is Honorary Foreign Professor at the Department of Mathematics, Yli Normal University, Xinjiang, China. He is Full Member of the Polish Academy of Sciences, Member of Academia Europaea, European Academy of Sciences and Arts, European Academy of Sciences, International Academy of Systems and Cybernetics (IASCYS), Foreign Member of the: Bulgarian Academy of Sciences, Spanish Royal Academy of Economic and Financial Sciences (RACEF), Finnish Society of Sciences and Letters, Flemish Royal Academy of Belgium of Sciences and the Arts (KVAB), Russian Academy of Sciences. National Academy of Sciences of Ukraine, Lithuanian Academy of Sciences and Accademia Nazionale di Scienze, lettere e Arti (Palermo). He was awarded with 8 honorary doctorates. He is Fellow of IEEE (Life), IET, IFSA, EurAI, IFIP, IAITQM, AAIA, AIIA, I2CICC, and SMIA.
His main research interests include the use of modern computation computational and artificial intelligence tools, notably fuzzy logic, in systems science, decision making, optimization, control, data analysis and data mining, with applications in mobile robotics, systems modeling, ICT etc.
He authored 7 books, (co)edited more than 150 volumes, (co)authored more than 690 papers, including ca. 150 in journals indexed by the WoS. He is listed in 2020-2024 "World's 2% Top Scientists" by Stanford University, Elsevier (Scopus) and ScieTech Strategies and published in PLOS Biology Journal.
He is the editor in chief of 8 book series at Springer, and of 2 journals, and is on the editorial boards of ca. 40 journals. He is President of the Polish Operational and Systems Research Society, Past President of International Fuzzy Systems Association, and is a member of the Adcom (Administrative Committee) of the Computational Intelligence Society of the IEEE, and a member of the Board of Governors of the Systems, Man and Cybernetics Society of the .IEEE.
Content
Part1.AI-supported multimedia systems.- 1.Automated Actor Recognition in Video Content.- 2.Acquiring Knowledge for Mimicking Dysarthric Speech by Incorporating its Features into Synthetic Speech.- 3.Monolingual and Cross-Lingual Text Classification.- 4.Towards Text Simplification for Lithuanian.- 5.Selection of preprocessing parameters for Wave-U-Net-based speech-denoising.- 6.Application of AI-based methods in the study of textual historical sources and urban heritage landscapes.- Part2.AI-supported multimedia systems.- 7.A Review of Quantum Machine Learning Applications.- 8.Class imbalance and data splitting approaches for face image pain classification: survey and experimental comparisons.- 9.Commit Classification for Software Change Intention Categorization Through Multimodal Machine Learning.- 10.AI for Earth Observation.- 11.Generative approach to supervised classification of spatio-temporal data via continuous observation Hidden Markov Model.- 12."Deformed solitary solutions to nonlinear differential equations based on the AI-assisted generalized operator of differentiation".
