Gang Luo – författare

This book constitutes the refereed post-conference proceedings for the VLBD conference workshops entitled: Towards Polystores That Manage Multiple Databases, Privacy, Security and/or Policy Issues for Heterogenous Data (Poly 2019) and the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019), held in Los Angeles, CA, USA, in August 2019, in conjunction with the 45th International Conference on Very Large Data Bases, VLDB 2019.

The papers are organized in topical sections named:Poly 2019: Privacy, Security and/or Policy Issues for Heterogenous Data; Building Polystore Systems.DMAH 2019: Database Enabled Biomedical Research; AI for Healthcare; Knowledge Discovery from Unstructured Biomedical Data; Blockchain and Privacy Preserving Data Management.

For Poly 2020, 4 full and 3 short papers were accepted from 10 submissions; and for DMAH 2020, 7 full and 2 short papers were accepted from a total of 15 submissions. The papers were organized in topical sections as follows: Privacy, Security and/or Policy Issues for Heterogenous Data; COVID-19 Data Analytics and Visualization; Deep Learning based Biomedical Data Analytics; NLP based Learning from Unstructured Data; Biomedical Data Modelling and Prediction.

For Poly 2021, 7 full and 2 short papers were accepted from 10 submissions; and for DMAH 2021, 4 full papers together with 2 invited papers were accepted from a total of 7 submissions. The papers were organized in topical sections as follows: distributed information systems in enterprises, enterprise access to data constructed from a variety of programming models, data management, data integration, data curation, privacy, and security innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare.

This book constitutes revised selected papers from two VLDB workshops: The International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2022, and the 8th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2022, which were held virtually on September 9, 2022.

The proceedings include 3 full papers each from Poly 2022 and from DMAH 2022. 

Poly is focusing on the broader real-world polystore problem, which includes data management, data integration, data curation, privacy, and security.

This book constitutes the refereed proceedings of the two International Workshops on Big-Graphs Online Querying, Big-O(Q) 2015, and Data Management and Analytics for Medicine and Healthcare, DMAH 2015, held at Waikoloa, Hawaii, USA on August 31 and September 4, 2015, in conjunction with the 41st International Conference on Very Large Data Bases, VLDB 2015. The 9 revised full papers presented together with 5 invited papers and 1 extended abstract were carefully reviewed and selected from 22 initial submissions. The papers are organized in topical sections on information retrieval and data analytics for electronic medical records; data management and visualization of medical data; biomedical data sharing and integration; medical imaging analytics; and big-graphs online querying.

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2016, in New Delhi, India, in September 2016, held in conjunction with the 42nd International Conference on Very Large Data Bases, VLDB 2016. The 7 revised full papers presented together with 2 invited papers and 3 keynote abstracts were carefully reviewed and selected from 11 initial submissions. The papers are organized in topical sections on knowledge discovery of biomedical data; managing, querying and processing of medical image data; information extraction and data integration for biomedical data; and health information systems.

The 9 revised full papers presented together with 2 keynote abstracts were carefully reviewed and selected from 16 initial submissions. The papers are organized in topical sections on data privacy and trustability for electronic health records; biomedical data management and Integration; online mining of Health related data; and clinical data analytics.

This book analyzes the governance of illegal immigrants in ethnic areas along China’s southwest border. Since China is not an immigrant country and lacks an immigrant culture, the goals of law enforcement departments are limited to sanfeirenyuan (three types of illegal persons: illegal immigrants, illegal residents, and illegal employees). The transformation of sanfeirenyuan, an issue that has plagued China for many years, into an “illegal immigration” governance issue that is of general concern to the international community, has led to fundamental changes in research methods and research topics. The research presented here makes the issue China now faces part of global issues; by using the “worldview on China’s issues” to assess current problems, it can also show how “China’s solutions can be applied to global issues.” 

The unique feature of this book is that it approaches the issue of illegal immigration as an unconscious crisis. Accordingly, it holds substantial value in terms of exploring the theoretical basis of and governance methods for maintaining national security in the context of globalization, as well as the early warning mechanisms and crisis management in the context of China’s national security. Since China has a long southwest border, the stability and security of border ethnic areas have long played a decisive role in the stability and security of the country as a whole: if the frontiers are stable, the country enjoys enhanced security. Consequently, investigating the governance mechanism for illegal immigrants in the ethnic areas of the southwest border is of considerable practical relevance. 

This book offers a valuable asset for researchers in related fields and can be used as a reference book for students of national security. It also benefits practitioners in relevant management departments.