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The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged....
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
This report is a partial result of China’s Quarterly Macroeconomic Model (CQMM), a project developed and maintained by the Center for Macroeconomic Research (CMR) at Xiamen University. The CMR is one of the Key Research Institutes of Humanities and Social Sciences sponsored by the Ministry of Education of China, focusing on China’s economic growth and macroeconomic policy. The CMR started to develop CQMM for purpose of short-term forecasting, policy analysis, and simulation in 2005. Based on CQMM, the CMR and its partners hold press conferences to release forecasts for China’ major macroeconomic variables. Since July 2006, thirty-three quarterly reports on China’s macroeconomic outlook have been presented.
Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application. Written by three of the most respected experts in the field, this book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using con...
Distributed by Elsevier Science on behalf of Science Press. Biostratigraphic data are basic to geological and palaeontological research. This book presents up-to-date material and research achievements in biostratigraphy in recent decades in China, and provides a variety of knowledge to lay a solid foundation for geologists and palaeontologists worldwide. It consists of 13 chapters covering 13 major geological systems. Every chapter addresses tectonic sedimentary domains, current biostratigraphic systems, series boundaries, faunal/floral succession, evolutionary trends and bioevents, correlation of the standard columns in China with other part of the world, facies patterns, palaeobiogeography and palaeogeography. * Up-to-date and authoritative data basic to geologic research about China and all Asia * Concepts, procedures and classification follow modern international standards updated to the present * Written by leading Chinese geologists and palaeontologists
Acarology is on the move! The growing interest from evolutionary and molecular biologists and from population and community ecologists in mites and ticks has a strong impetus on the field of acarology. This book contains many chapters that illustrate the recent progress in the field.
Provides an overview of fundamental issues underlying central aspects of data quality - data consistency, data deduplication, data accuracy, data currency, and information completeness. The book promotes a uniform logical framework for dealing with these issues, based on data quality rules.
A general expectation has developed that ChinaÕs middle class will generate not only social but also political change. This expectation often overlooks the reality that there is no single Chinese middle class with a common identity or will to action. This timely volume examines the behaviour and identity of the different elements of ChinaÕs middle class Ð entrepreneurs, managers, and professionals Ð in order to understand their centrality to the wider processes of social and political change in China. The expert contributors seek to identify the social space occupied by the Chinese middle class rather than identifying social backgrounds and attitudes. In so doing they explore socio-polit...