This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.The
This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after hav
Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, thei
This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tool
This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data
In education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the effica
This textbook introduces and explains the basic concepts on which Statics is based utilizing real engineering examples. The authors emphasize the learning process by showing a real problem, analyzing
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random for
This book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologie
This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the clas
The Shanghai school system has attracted worldwide attention since its impressive performance in the International Programme for Student Assessment (PISA) in 2009. The system ranks as a stunning succe
A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineerin
This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on
Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors
This book describes and verifies external shape laws in nature, not only valid for trees, but also for bones, claws, thorns, etc. It is shown how growing structures repair the disturbed optimum design
This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three
This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile
This book discusses the interwoven themes of teacher learning and classroom assessment, highlighting the complexity and intricacy of these processes in a range of very different classroom contexts. Th
This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap t
This book is a guide to energy efficiency and environmental impact assessment in high-performance buildings projects. It compares four state-of-the-art buildings to examine the steps needed for a tran
This volume discusses entrepreneurship education in Europe on the basis of in-depth case studies of related activities at twenty higher education institutions. Based on a model of entrepreneurship edu
This volume tackles issues arising from today’s high reliance on learning from visualizations in general and dynamic visualizations in particular at all levels of education. It reflects recent changes
This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it address
This volume addresses the complex relationships between human beings and their environment through the analysis of botanical, zoological, and geological data in archaeological contexts. At the heart o
This book describes lessons learned from the implementation of research based learning at Maastricht University. Well-known for its problem based learning (PBL) educational model, Maastricht Universit
This book provides a sound theoretical basis for the the different gravity field recovery methods and the numerics of satellite-to-satellite tracking data. It represents lectures given at the ‘Wilhelm
?? ?This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institut
This book presents the state of the art in reinforcement learning applied to robotics both in terms of novel algorithms and applications. It discusses recent approaches that allow robots to learn moto
?This book deals with slums as a specific question and a central focus in urban planning. It radically reverses the official version of the history of world cities as narrated during decades: slums ar
This book presents a synopsis of six emerging themes in adult mathematics/numeracy and a critical discussion of recent developments in terms of policies, provisions, and the emerging challenges, parad
This book analyses the experiences of multicultural education in nine very different international settings uncovering insights from a vast variety of educational contexts. Taking a multi-criti
This book includes studies that represent the state of the art in science education research and convey a sense of the variation in educational traditions around the world. The papers are organized in
The book contains a series of core auscultation “lessons”. All are case based and describe auscultation as it relates to a patient and in terms of the gold standard for interpretation of heart sounds.
This book contains a selection of papers from the 16th International Symposium on Spatial Data Handling (SDH), the premier long-running forum in geographical information science. This collection offer
A major limitation of conventional web sites is their unorganized and isolated contents, which is created mainly for human consumption. This limitation can be addressed by organizing and publishing da
This book posits the idea that networked learning is the one new paradigm in learning theory that has resulted from the introduction of digital and networked technologies. It sets out, in a single vol
Here, the authors introduce readers to solving molecular structure elucidation problems using the expert system ACD/Structure Elucidator. They explain in detail the concepts of the Computer-Assisted S
?Christoph Samitsch investigates whether decision-making efficiency is being influenced by the quality of data and information. Results of the research provide evidence that defined data quality dimen
This book presents the theory of integrating implification and it provides a profound evidence based study of Buurtzorg Nederland. The case itself, forming the building block of the theory, has receiv
