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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 11: Analysis of Simulated Crowd Flow Exit Data: Visualization, Panic Detection and Exit Time Convergence, Attribution, and Estimation
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Chapter title
Analysis of Simulated Crowd Flow Exit Data: Visualization, Panic Detection and Exit Time Convergence, Attribution, and Estimation
Chapter number 11
Book title
Research in Data Science
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-11566-1_11
Book ISBNs
978-3-03-011565-4, 978-3-03-011566-1
Authors

Anna Grim, Boris Iskra, Nianqiao Ju, Alona Kryshchenko, F. Patricia Medina, Linda Ness, Melissa Ngamini, Megan Owen, Randy Paffenroth, Sui Tang, Grim, Anna, Iskra, Boris, Ju, Nianqiao, Kryshchenko, Alona, Medina, F. Patricia, Ness, Linda, Ngamini, Melissa, Owen, Megan, Paffenroth, Randy, Tang, Sui

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Unspecified 1 13%
Professor 1 13%
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 3 38%
Mathematics 1 13%
Unspecified 1 13%
Agricultural and Biological Sciences 1 13%
Design 1 13%
Other 0 0%
Unknown 1 13%

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