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Astrostatistics and Data Mining

Overview of attention for book
Cover of 'Astrostatistics and Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Recent Advances in Cosmological Bayesian Model Comparison
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    Chapter 2 Science from Gaia: How to Deal with a Complex Billion-Source Catalogue and Data Archive
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    Chapter 3 Extracting Knowledge From Massive Astronomical Data Sets
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    Chapter 4 The Art of Data Science
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    Chapter 5 The Distribution of Galaxies in Spectral Space
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    Chapter 6 Utilizing Astroinformatics to Maximize the Science Return of the Next Generation Virgo Cluster Survey
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    Chapter 7 Adjustment of Observational Data to Specific Functional Forms Using a Particle Swarm Algorithm and Differential Evolution: Rotational Curves of a Spiral Galaxy as Case Study
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    Chapter 8 Probabilistic Description of Stellar Ensembles
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    Chapter 9 Solar System Parameters from the Gaia Small Solar System Object Data
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    Chapter 10 Data Management at Gaia Data Processing Centers
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    Chapter 11 Hipparcos Variable Star Detection and Classification Efficiency
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    Chapter 12 Distributed Genetic Algorithm for Feature Selection in Gaia RVS Spectra: Application to ANN Parameterization
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    Chapter 13 Efficient Calculation of Covariances for Astrometric Data in the Gaia Catalogue
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    Chapter 14 Bayesian Analysis of Cosmic Structures
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    Chapter 15 Generalized Stellar Parametrizer with Gaia Photometry Data
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    Chapter 16 Classification of Poorly Time Sampled Light Curves of Periodic Variable Stars
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    Chapter 17 Handling Imbalanced Data Sets in Multistage Classification
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    Chapter 18 A new approach to the optimization of the extraction of astrometric and photometric information from multi-wavelength images in cosmological fields
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    Chapter 19 Statistical Analysis of Caustic Crossings in Multiply Imaged Quasars
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    Chapter 20 Stellar Age and Mass Determination
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    Chapter 21 Data Mining of the MultiDark Simulation
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    Chapter 22 Overcoming Sample Selection Bias in Variable Star Classification
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    Chapter 23 Data Mining on Ice
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    Chapter 24 The Catalogue of X-Ray Bursts Detected by JEM-X Onboard INTEGRAL
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    Chapter 25 The Discrete Source Classifier in Gaia-Apsis
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    Chapter 26 A Checklist for Planning Research Data Management
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    Chapter 27 Efficient Use of Simultaneous Multi-Band Observations for Variable Star Analysis
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    Chapter 28 Parametrization of Binary Stars with Gaia Observations
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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