A world list of books in the English language.

Over the last 70 years, Japanese Studies scholarship has gone through several dominant paradigms, from ‘demystifying the Japanese’, to analysis of Japanese economic strength, to discussion of global interest in Japanese popular culture. This book assesses this literature, considering future directions for research into the 2020s and beyond. Shifting the geographical emphasis of Japanese Studies away from the West to the Asia-Pacific region, this book identifies topic areas in which research focusing on Japan will play an important role in global debates in the coming years. This includes the evolution of area studies, coping with aging populations, the various patterns of migration and environmental breakdown. With chapters from an international team of contributors, including significant representation from the Asia-Pacific region, this book enacts Yoshio Sugimoto’s notion of ‘cosmopolitan methodology’ to discuss Japan in an interdisciplinary and transnational context and provides overviews of how Japanese Studies is evolving in other Asian countries such as China and Indonesia. New Frontiers in Japanese Studies is a thought-provoking volume and will be of great interest to students and scholars of Japanese and Asian Studies. The Introduction and Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.