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Big Data in Astronomy

Big Data in Astronomy
  • Author : Linghe Kong
  • Publsiher : Elsevier
  • Release : 13 June 2020
  • ISBN : 012819085X
  • Pages : 438 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKBig Data in Astronomy

Summary:
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)


Big Data in Astronomy

Big Data in Astronomy
  • Author : Linghe Kong,Tian Huang,Yongxin Zhu,Shenghua Yu
  • Publisher : Elsevier
  • Release : 13 June 2020
GET THIS BOOKBig Data in Astronomy

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

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Knowledge Discovery in Big Data from Astronomy and Earth Observation

Knowledge Discovery in Big Data from Astronomy and Earth Observation
  • Author : Petr Skoda,Fathalrahman Adam
  • Publisher : Elsevier
  • Release : 10 April 2020
GET THIS BOOKKnowledge Discovery in Big Data from Astronomy and Earth Observation

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

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Advances in Machine Learning and Data Mining for Astronomy

Advances in Machine Learning and Data Mining for Astronomy
  • Author : Michael J. Way,Jeffrey D. Scargle,Kamal M. Ali,Ashok N. Srivastava
  • Publisher : CRC Press
  • Release : 29 March 2012
GET THIS BOOKAdvances in Machine Learning and Data Mining for Astronomy

Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines

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Statistics, Data Mining, and Machine Learning in Astronomy

Statistics, Data Mining, and Machine Learning in Astronomy
  • Author : Željko Ivezić,Andrew J. Connolly,Jacob T VanderPlas,Alexander Gray
  • Publisher : Princeton University Press
  • Release : 12 January 2014
GET THIS BOOKStatistics, Data Mining, and Machine Learning in Astronomy

As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as

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Statistics, Data Mining, and Machine Learning in Astronomy

Statistics, Data Mining, and Machine Learning in Astronomy
  • Author : Željko Ivezić,Andrew J. Connolly,Jacob T. VanderPlas,Alexander Gray
  • Publisher : Princeton University Press
  • Release : 03 December 2019
GET THIS BOOKStatistics, Data Mining, and Machine Learning in Astronomy

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and

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Data Analysis in Astronomy

Data Analysis in Astronomy
  • Author : V. di Gesù,L. Scarsi,P. Crane,J.H. Friedman,S. Levialdi
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKData Analysis in Astronomy

The international Workshop on "Data Analysis in Astronomy" was in tended to give a presentation of experiences that have been acqui red in data analysis and image processing, developments and appli cations that are steadly growing up in Astronomy. The quality and the quantity of ground and satellite observations require more so phisticated data analysis methods and better computational tools. The Workshop has reviewed the present state of the art, explored new methods and discussed a wide range of applications.

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Planets, Stars and Stellar Systems

Planets, Stars and Stellar Systems
  • Author : Howard E. Bond
  • Publisher : Springer
  • Release : 27 February 2013
GET THIS BOOKPlanets, Stars and Stellar Systems

This is volume 2 of Planets, Stars and Stellar Systems, a six-volume compendium of modern astronomical research, covering subjects of key interest to the main fields of contemporary astronomy. This volume on “Astronomical Techniques, Software, and Data” edited by Howard E. Bond presents accessible review chapters on Astronomical Photometry, Astronomical Spectroscopy, Infrared Astronomy Fundamentals, Astronomical Polarimetry: Polarized Views of Stars and Planets, Sky Surveys,Techniques of Radio Astronomy,Radio and Optical Interferometry: Basic Observing Techniques and Data Analysis, Absolute Calibration of

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Big Data in Complex Systems

Big Data in Complex Systems
  • Author : Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy
  • Publisher : Springer
  • Release : 02 January 2015
GET THIS BOOKBig Data in Complex Systems

This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for

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Modern Statistical Methods for Astronomy

Modern Statistical Methods for Astronomy
  • Author : Eric D. Feigelson,G. Jogesh Babu
  • Publisher : Cambridge University Press
  • Release : 12 July 2012
GET THIS BOOKModern Statistical Methods for Astronomy

"Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Yet most astronomers still use a narrow suite of traditional statistical methods. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public-domain R statistical software environment"--

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Doing Data Science

Doing Data Science
  • Author : Cathy O'Neil,Rachel Schutt
  • Publisher : "O'Reilly Media, Inc."
  • Release : 09 October 2013
GET THIS BOOKDoing Data Science

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay

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The Big R-Book

The Big R-Book
  • Author : Philippe J. S. De Brouwer
  • Publisher : John Wiley & Sons
  • Release : 29 September 2020
GET THIS BOOKThe Big R-Book

Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone

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Data Science Landscape

Data Science Landscape
  • Author : Usha Mujoo Munshi,Neeta Verma
  • Publisher : Springer
  • Release : 01 March 2018
GET THIS BOOKData Science Landscape

The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and

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Education and Heritage in the Era of Big Data in Astronomy (IAU S367)

Education and Heritage in the Era of Big Data in Astronomy (IAU S367)
  • Author : Rosa M. Ros,Beatriz Garcia,Steven Gullberg,Javier Moldón,Patricio Rojo
  • Publisher : Cambridge University Press
  • Release : 24 March 2022
GET THIS BOOKEducation and Heritage in the Era of Big Data in Astronomy (IAU S367)

For thousands of years people have looked to the skies to better understand the universe and our place within it. Crucially it is the role of teachers and experts to make astronomical concepts accessible to the next generation, and to pass on our collective knowledge for others to build on. This volume brings together contributions from modern pioneers in astronomy education, as presented at the online IAU Symposium 367 on 'Education and Heritage in the Era of Big Data in Astronomy'.

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