Advanced Data Analysis Techniques, Theory, and Applications (Paperback)

Data analysis methods intersect with statistical theory, computational methods, and real-world problem solving, providing insights from complex datasets. With mathematical and statistical foundations, these techniques include predictive modeling, machine learning, and optimization. Their applications span diverse sectors like finance, healthcare, engineering, and social sciences, where data-driven decisions are critical. By integrating theory with practical application, advanced data analysis provides the tools needed to uncover patterns, prove hypotheses, and translate data into actionable knowledge. Advanced Data Analysis Techniques, Theory, and Applications explores the latest trends and advancements in data analysis methodologies and techniques. It examines applications across various industries, discussing ethical considerations and best practices in data collection, processing, and interpretation. This book covers topics such as ethics and law, machine learning, and data engineering, and is a useful resource for data scientists, academicians, researchers, and engineers.

Theodore Chadjipadelis is a Professor of Applied Statistics at the Department of Political Science in Aristotle University of Thessaloniki. He is the Head of Laboratory of Applied Political Research and also Director of the MSc programs Political Analysis and Governance-Regional Development. He is also the Head of the Research Centre “Observatory for Democracy in Balkans, Black Sea and Eastern Mediterranean”. He taught Statistics, Mathematics, Electoral Analysis, Governance, Local and Regional Government, Decision Theory in the Aristotle University as well as in the University of Thessaly and the Hellenic Open University. He has published more than 100 papers in scientific journals and conference proceedings in Greece and abroad relating to Electoral Analysis, Public Opinion analysis, laboratory planning, Applied Statistics, Civil and Regional Planning. He is the Head of the Committee for Control of Public Surveys (established following agreement of the Committee with the Ministry of Media). From April 2010 till 2012 he was Board Member of “Information Society SA” and since 2011 till 2015 he was President of the Managing Committee at the University of Western Macedonia. He was a member of the Special Scientific Committee of the Ministry of Interior Decentralization and E-government for the new architecture of Administration and Regional Administration as well as the Special Committee for the electoral law. He has been member of the National Committee for Administrative Reform of the Ministry of Interior, Public Administration and Decentralization (as a representative of Aristotle University). He has been also a member of the scientific Committee of the “Institute of Local Government” (Κ.Ε.Δ.Κ.Ε-Τ.Ε.Δ.Κ.Ν.Α.). He has also been representative of the Hellenic Ministry of Education in EUROSTAT and national representative at FP6 Initiative 7 (Citizens and Governance in Knowledge Society).

Nikos Koutsoupias is a Professor of Applied Informatics & Data Analysis in the Department of International & European Studies of the School of Social Sciences, Humanities & Arts, University of Macedonia. He graduated from the Department of Computer Science, North Carolina State University (NCSU), Raleigh NC, USA and a PhD holder from the Department of Applied Informatics of the University of Macedonia. He worked as a Computing Lab Assistant at the Department of Computer Science and the Faculty of Social Sciences & Humanities, as a Teaching Assistant at the School of Electrical & Computer Engineering (NCSU) and as a Database Programmer of an International Insurance Group (ERGO). He taught IT & Data Analysis courses at the School of NCO Administration of the Hellenic Air Force and at the Departments of General Studies & Marketing of TEI of Thessaloniki. As Lecturer/pd407, Assistant and Associate Professor taught at the Aristotle University and later at the University of Western Macedonia.

Angelos Markos is a Professor of Data Analysis in the Social Sciences at the Democritus University of Thrace, School of Education (Greece), board member of the Greek Society of Data Analysis (GSDA) and additional member of the International Federation of Classification Societies (IFCS) Council. In 2017, he was Visiting Scholar at the Department of Statistics, Stanford University. He hold a PhD degree from the University of Macedonia, Greece (2007). His areas of interest include multivariate analysis (especially dimension reduction and clustering), psychological testing and measurement in the social sciences and statistics education. I am creator and maintainer of the R packages clustrd and idm.

George C. Menexes is a Professor of ‘Biometry and Agricultural Experimentation’ at the School of Agriculture of the Aristotle University of Thessaloniki. His research interests focused on the scientific research methodology, the development and application of statistical methods for the analysis of data resulted from experiments in the field of biological sciences and the methods of multivariate analysis of quantitative and categorical data. He has more than 240 publications (full articles) in scientific journals and conference proceedings and he has participated in 40 research programs. He has announced and/or presented more than 260 papers at National and International Conferences.