📖 Advances in Machine Learning and Data Mining for Astronomy
Friday, November 9, 2018 by dev
Advances in Machine Learning and Data Mining for Astronomy
By:Michael J. Way,Jeffrey D. Scargle,Kamal M. Ali,Ashok N. Srivastava
Published on 2012-03-29 by CRC Press
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, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book’s introductory part provides context to issues in the astronomical sciences that are also important to health, social, and physical sciences, particularly probabilistic and statistical aspects of classification and cluster analysis. The next part describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In the last part, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications. With contributions from leading astronomers and computer scientists, this book is a practical guide to many of the most important developments in machine learning, data mining, and statistics. It explores how these advances can solve current and future problems in astronomy and looks at how they could lead to the creation of entirely new algorithms within the data mining community.
This Book was ranked at 21 by Google Books for keyword mining.
Book ID of Advances in Machine Learning and Data Mining for Astronomy's Books is YafMBQAAQBAJ, Book which was written byMichael J. Way,Jeffrey D. Scargle,Kamal M. Ali,Ashok N. Srivastavahave ETAG "BnbCs2yc9uQ"
Book which was published by CRC Press since 2012-03-29 have ISBNs, ISBN 13 Code is 9781439841747 and ISBN 10 Code is 1439841748
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