Applications of Synthetic High Dimensional Data

The need for tailored data for machine learning models is often unsatisfied, as it is considered too much of a risk in the real-world context. Synthetic data, an algorithmically birthed counterpart to operational data, is the linchpin for overcoming constraints associated with sensitive or regulated information. In high-dimensional data, where the dimensions of features and variables often surpass the number of available observations, the emergence of synthetic data heralds a transformation. Applications of Synthetic High Dimensional Data delves into the algorithms and applications underpinning the creation of synthetic data, which surpass the capabilities of authentic datasets in many cases. Beyond mere mimicry, synthetic data takes center stage in prioritizing the mathematical domain, becoming the crucible for training robust machine learning models. It serves not only as a simulation but also as a theoretical entity, permitting the consideration of unforeseen variables and facilitating fundamental problem-solving. This book navigates the multifaceted advantages of synthetic data, illuminating its role in protecting the privacy and confidentiality of authentic data. It also underscores the controlled generation of synthetic data as a mechanism to safeguard private information while maintaining a controlled resemblance to real-world datasets. This controlled generation ensures the preservation of privacy and facilitates learning across datasets, which is crucial when dealing with incomplete, scarce, or biased data. Ideal for researchers, professors, practitioners, faculty members, students, and online readers, this book transcends theoretical discourse. It accentuates practical aspects, prioritizing the basic applicability of synthetic high-dimensional data. Each chapter unveils a facet of synthetic data's prowess, from its impact on society to its role in machine learning applications. It provides a roadmap for navigating the nuanced terrain of data privacy, continuity, and generalization through the lens of synthetic data.

Dr. Marzena Sobczak-Michalowska is Vice-Rector of International Affairs, University of Economy in Bydgoszcz, Poland and Director of the Europe Direct European Information Point in Toruń. She obtained her Ph.D. in 1992 in the field of pedagogy, Academy of Pedagogical Sciences in Moscow. She has been awarded with acknowledgement letter from the Marshal of the Kuyavian-Pomeranian Voivodeship, Waldemar Achramowicz, for involvement and contribution to the construction of a strategy for social welfare and from the Mayor of Bydgoszcz for presenting a review of the study and for fruitful cooperation with the District Labour Office in Bydgoszcz. She obtained a commemorative medal minted on the occasion of the 95th anniversary of the CSO and medal of the National Education Commission for special merits in the field of education and upbringing. Also she obtained Zhubanov University medal for building international relations. She is involved with more than 15 number of selected scientific and research projects and scientific editor of more than 20 books.

Dr. Samarjeet Borah is currently working as Professor in the Department of Computer Applications, SMIT, Sikkim Manipal University (SMU), Sikkim, India. Dr. Borah handles various academics, research and administrative activities such as curriculum development, Board of Studies, Doctoral Research Committee, IT Infrastructure Management etc. inSikkim Manipal University. Dr. Borah is involved with various funded projects from AICTE (Govt. of India), DST-CSRI (Govt. of India)etc. in the capacity of Principal Investigator/Co-principal Investigator. He has organized various national and international conferences such as ISRO Sponsored Training Programme on Remote Sensing & GIS, NCWBCB 2014, NER-WNLP 2014, IC3-2016, IC3-2018, ICDSM-2019, ICAET-2020, IC3-2020 etc. Dr. Borah is involved with various book volumes and journals of repute for Springer, IEEE, Inderscience, IGI Global etc. in the capacity of Editor/Guest Editor/Reviewer.He is editor-in-chief of the book/proceedings series - Research Notes on Computing and Communication Sciences, Apple Academic Press, USA.

Dr. Zdzislaw Polkowski is associated with Department of Humanities and Social Sciences, The Karkonosze University of Applied Sciences in Jelenia Góra, Poland. He holds a PhD degree in Computer Science and Management from Wroclaw University of Technology, Post Graduate degree in Microcomputer Systems in Management from University of Economics in Wroclaw and Post Graduate degree IT in Education from Economics University in Katowice. He obtained his Engineering degree in Industrial Computer Systems from Technical University of Zielona Gora. He has published more than 55 papers in journals, 15 conference proceedings, including more than 8 papers in journals indexed in the Web of Science. He served as a member of Technical Program Committee in many International conferences in Poland, India, China, Iran, Romania and Bulgaria.