Spatiotemporal Data

The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of interacting with such storehouses – querying, data mining, data analysis – is addressed by current technologies only in very limited and unsatisfactory ways. The impact of a solution to this problem would be huge and pervasive, as the domains of human pursuit to which such storehouses are acutely relevant is numerous and rapidly growing. Finally, we give a more detailed treatment of one potential solution with this class, based on our prior work with the Probabilistic Logic Networks (PLN) formalism. We show how PLN can be used to carry out realworld reasoning, by means of a number of practical examples of reasoning regarding human activities inreal-world situations.

This book explores various approaches to reconstruct the spatial and temporal distribution of historical farmland in China. The book contains background information about political regimes, economic and social development, population changes and land resource utilization in the past 300 years in China. A literature review focuses on the assumptions, methodologies and models of reconstructing historical land-use datasets while addresses accuracy evaluation issues.

This book explores various approaches to reconstruct the spatial and temporal distribution of historical farmland in China. The book contains background information about political regimes, economic and social development, population

This book deals with the evolution of active plate margins, with a focus on the Pacific NW. A multidisciplinary study aiming at the elucidation of complicated tectonic processes is based on structural geology, sedimentology, numerical modeling, and the latest methodology of geophysics.

Learn and apply cutting-edge data analysis techniques for "big neurodata" (theory and MATLAB/Python code)

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.