Data Science, Learning by Latent Structures, and Knowledge Discovery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science, Learning by Latent Structures, and Knowledge Discovery write by Berthold Lausen. This book was released on 2015-05-06. Data Science, Learning by Latent Structures, and Knowledge Discovery available in PDF, EPUB and Kindle. This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.
SOFSEM 2023: Theory and Practice of Computer Science
SOFSEM 2023: Theory and Practice of Computer Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook SOFSEM 2023: Theory and Practice of Computer Science write by Leszek Gąsieniec. This book was released on 2022-12-19. SOFSEM 2023: Theory and Practice of Computer Science available in PDF, EPUB and Kindle. This book constitutes the conference proceedings of the 48th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2023, held in Nový Smokovec, Slovakia, during January 15–18, 2023. The 22 full papers presented together with 2 best papers and 2 best students papers in this book were carefully reviewed and selected from 43 submissions. This workshop focuses on graphs problems and optimization; graph drawing and visualization; NP-hardness and fixed parameter tractability; communication and temporal graphs; complexity and learning; and robots and strings.
Introduction to Random Graphs
Introduction to Random Graphs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Random Graphs write by Alan Frieze. This book was released on 2016. Introduction to Random Graphs available in PDF, EPUB and Kindle. The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track write by Albert Bifet. This book was released on . Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track available in PDF, EPUB and Kindle.
Advanced Studies in Behaviormetrics and Data Science
Advanced Studies in Behaviormetrics and Data Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Studies in Behaviormetrics and Data Science write by Tadashi Imaizumi. This book was released on 2020-04-17. Advanced Studies in Behaviormetrics and Data Science available in PDF, EPUB and Kindle. This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts.
