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Research in Data Science

Overview of attention for book
Cover of 'Research in Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors
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    Chapter 2 The Hubness Phenomenon in High-Dimensional Spaces
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    Chapter 3 Heuristic Framework for Multiscale Testing of the Multi-Manifold Hypothesis
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    Chapter 4 Interdisciplinary Approaches to Automated Obstructive Sleep Apnea Diagnosis Through High-Dimensional Multiple Scaled Data Analysis
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    Chapter 5 The ℓ ∞ -Cophenetic Metric for Phylogenetic Trees As an Interleaving Distance
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    Chapter 6 Inference of a Dyadic Measure and Its Simplicial Geometry from Binary Feature Data and Application to Data Quality
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    Chapter 7 A Non-local Measure for Mesh Saliency via Feature Space Reduction
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    Chapter 8 Feature Design for Protein Interface Hotspots Using KFC2 and Rosetta
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    Chapter 9 Geometry-Based Classification for Automated Schizophrenia Diagnosis
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    Chapter 10 Compressed Anomaly Detection with Multiple Mixed Observations
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    Chapter 11 Analysis of Simulated Crowd Flow Exit Data: Visualization, Panic Detection and Exit Time Convergence, Attribution, and Estimation
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    Chapter 12 A Data Driven Modeling of Ornaments
Attention for Chapter 9: Geometry-Based Classification for Automated Schizophrenia Diagnosis
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Chapter title
Geometry-Based Classification for Automated Schizophrenia Diagnosis
Chapter number 9
Book title
Research in Data Science
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-11566-1_9
Book ISBNs
978-3-03-011565-4, 978-3-03-011566-1
Authors

Robert Aroutiounian, Kathryn Leonard, Rosa Moreno, Robben Teufel, Aroutiounian, Robert, Leonard, Kathryn, Moreno, Rosa, Teufel, Robben

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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