International Meeting on "High-Dimensional Data-Driven Science" (HD3-2017)

Kyoto, Japan September 10-13, 2017 Preface: In the Big Data era, high-dimensional data-driven science (HD3 Science) has attracted considerable attention. In natural science, highly advanced experimental and measurement technologies yield high-dimensional data intractable for conventional analyses ba...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1036; no. 1; pp. 11001 - 11004
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.06.2018
Subjects
Astronomical interferometry
Astronomy
Information science
Magnetic resonance imaging
Modelling
NMR spectroscopy
Physics
Science
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Summary:Kyoto, Japan September 10-13, 2017 Preface: In the Big Data era, high-dimensional data-driven science (HD3 Science) has attracted considerable attention. In natural science, highly advanced experimental and measurement technologies yield high-dimensional data intractable for conventional analyses based on researchers' intuition. However, recent progress in information science provides a variety of methodologies through which the problems of high-dimensional data are addressed. The scientific principle of HD3 Science is to establish a universal modeling platform where the motivation of natural science is smoothly conveyed with high-dimensional data to information science. The previous meeting for HD3-2015 focused on "sparse modeling" as a principal component of the platform and its wide application to nuclear magnetic resonance spectroscopy in chemistry, magnetic resonance imaging in medicine, and astronomical interferometry in astronomy. List of Editors, Organizing Committee and Conference Photograph is available in this pdf.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1036/1/011001