Astroinformatics Iau S325
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| Author | : Leonid Kalinichenko |
| Publisher | : Springer |
| Total Pages | : 285 |
| Release | : 2018-07-12 |
| Genre | : Computers |
| ISBN | : 3319965530 |
This book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017. The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: data analytics; next generation genomic sequencing: challenges and solutions; novel approaches to analyzing and classifying of various astronomical entities and events; ontology population in data intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation.
| Author | : Massimo Brescia |
| Publisher | : Cambridge University Press |
| Total Pages | : 0 |
| Release | : 2017-06-15 |
| Genre | : Science |
| ISBN | : 9781107169951 |
Astronomy has become data-driven in ways that are both quantitatively and qualitatively different from the past: data structures are not simple; procedures to gain astrophysical insights are not obvious; and the informational content of the data sets is so high that archival research and data mining are not merely convenient, but obligatory, as researchers who obtain the data can only extract a small fraction of the science enabled by it. IAU Symposium 325 took place at a crucial stage in the development of the field, when many efforts have carried significant achievements, but the widespread groups have just begun to effectively communicate across specialties, to gather and assimilate their achievements, and to consult cross-disciplinary experts. Bringing together astronomers involved in surveys and large simulation projects, computer scientists, data scientists, and companies, this volume showcases their fruitful exchange of ideas, methods, software, and technical capabilities.
| Author | : Eric D. Feigelson |
| Publisher | : Cambridge University Press |
| Total Pages | : 495 |
| Release | : 2012-07-12 |
| Genre | : Science |
| ISBN | : 052176727X |
Modern Statistical Methods for Astronomy: With R Applications.
| Author | : Linghe Kong |
| Publisher | : Elsevier |
| Total Pages | : 440 |
| Release | : 2020-06-13 |
| Genre | : Science |
| ISBN | : 012819085X |
Big Data in Radio Astronomy: Scientific Data Processing for Advanced Radio Telescopes provides the latest research developments in big data methods and techniques for radio astronomy. Providing examples from such projects as the Square Kilometer Array (SKA), the world's largest radio telescope that generates over an Exabyte of data every day, the book offers solutions for coping with the challenges and opportunities presented by the exponential growth of astronomical data. Presenting state-of-the-art results and research, this book is a timely reference for both practitioners and researchers working in radio astronomy, as well as students looking for a basic understanding of big data in astronomy. - Bridges the gap between radio astronomy and computer science - Includes coverage of the observation lifecycle as well as data collection, processing and analysis - Presents state-of-the-art research and techniques in big data related to radio astronomy - Utilizes real-world examples, such as Square Kilometer Array (SKA) and Five-hundred-meter Aperture Spherical radio Telescope (FAST)
| Author | : Keith J. Devlin |
| Publisher | : Cambridge University Press |
| Total Pages | : 334 |
| Release | : 1995-09-29 |
| Genre | : Computers |
| ISBN | : 9780521499712 |
Intelligence can be characterised both as the ability to absorb and process information and as the ability to reason. Humans and other animals have both of these abilities to a greater or lesser degree, but the search for artificial intelligence has been hampered by our inability to create a theory that covers both of these characteristics. In this provocative and ground-breaking book, Professor Keith Devlin argues that to obtain a deeper understanding of the nature of intelligence and knowledge acquisition, we must broaden our concept of logic. For these purposes, Devlin introduces the concept of the infon, a quantum of information, and merges it with situations, a mathematical construction generalising the notion of sets developed by Barwise and Perry at Stanford University in order to study the meaning of natural languages. He develops and describes the theory here in general and intuitive terms, and discusses its relevance to a variety of concerns such as artificial intelligence, cognition, natural language and communication.
| Author | : Petr Skoda |
| Publisher | : Elsevier |
| Total Pages | : 474 |
| Release | : 2020-04-10 |
| Genre | : Computers |
| ISBN | : 0128191554 |
Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants. - Addresses both astronomy and geosciences in parallel, from a big data perspective - Includes introductory information, key principles, applications and the latest techniques - Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields
| Author | : Keith Devlin |
| Publisher | : Center for the Study of Language and Information Publications |
| Total Pages | : 216 |
| Release | : 1996-09-28 |
| Genre | : Mathematics |
| ISBN | : 9781575860503 |
People are very creative in their use of language. This observation was made convincingly by Chomsky in the 1950s and is generally accepted in the scientific communities concerned with the study of language. Computers, on the other hand, are neither creative, flexible, nor adaptable. This is in spite of the fact that their ability to process language is based largely on the grammars developed by linguists and computer scientists. Thus, there is a mismatch between the observed human creativity and our ability as theorists to explain it. Language at Work examines grammars and other descriptions of language by combining the scientific and the practical. The scientific motivation is to unite distinct intellectual traditions, mathematics and descriptive social science, which have tried to provide an adequate explanation of language and its use on their own to no avail. This volume argues that Situation Theory, a theory of information couched in mathematics, has provided a uniform framework for the investigation of the creative aspects of language use. The application of Situation Theory in the study of language use in everyday communication to improve human/computer interaction is explored and espoused.
| Author | : Henk A.L. Kiers |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 428 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 3642597890 |
This volume contains a selection of papers presented at the Seven~h Confer ence of the International Federation of Classification Societies (IFCS-2000), which was held in Namur, Belgium, July 11-14,2000. From the originally sub mitted papers, a careful review process involving two reviewers per paper, led to the selection of 65 papers that were considered suitable for publication in this book. The present book contains original research contributions, innovative ap plications and overview papers in various fields within data analysis, classifi cation, and related methods. Given the fast publication process, the research results are still up-to-date and coincide with their actual presentation at the IFCS-2000 conference. The topics captured are: • Cluster analysis • Comparison of clusterings • Fuzzy clustering • Discriminant analysis • Mixture models • Analysis of relationships data • Symbolic data analysis • Regression trees • Data mining and neural networks • Pattern recognition • Multivariate data analysis • Robust data analysis • Data science and sampling The IFCS (International Federation of Classification Societies) The IFCS promotes the dissemination of technical and scientific information data analysis, classification, related methods, and their applica concerning tions.
| Author | : Chikio Hayashi |
| Publisher | : |
| Total Pages | : 800 |
| Release | : 2014-01-15 |
| Genre | : |
| ISBN | : 9784431659518 |
| Author | : Soroush Nazarpour |
| Publisher | : John Wiley & Sons |
| Total Pages | : 230 |
| Release | : 2016-09-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3527338330 |
Filling the gap between publications for industrial developers and academic researchers on graphene synthesis and its applications, this book presents the essential aspects for the successful upscaling of graphene production. After an introduction to graphene, its synthesis and characterization, the text covers a wide variety of graphene composites and compounds. The larger part of the book discusses various applications where graphene has been successfully integrated into technologies, including uses in the energy sector, oil and gas industry, biomedical areas, sensors and coatings. Finally, the book concludes with a summary and a look at the future of graphene technology, including a market review. With its focus on applications, this is equally useful for both academic and industrial users.
