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Data Science

Overview of attention for book
Cover of 'Data Science'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Missing Data Imputation and Its Effect on the Accuracy of Classification
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    Chapter 2 On Coupling Robust Estimation with Regularization for High-Dimensional Data
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    Chapter 3 Classification Methods in the Research on the Financial Standing of Construction Enterprises After Bankruptcy in Poland
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    Chapter 4 On the Identification of Correlated Differential Features for Supervised Classification of High-Dimensional Data
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    Chapter 5 T-Sharper Images and T-Level Cuts of Fuzzy Partitions
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    Chapter 6 Benchmarking for Clustering Methods Based on Real Data: A Statistical View
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    Chapter 7 Representable Hierarchical Clustering Methods for Asymmetric Networks
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    Chapter 8 A Median-Based Consensus Rule for Distance Exponent Selection in the Framework of Intelligent and Weighted Minkowski Clustering
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    Chapter 9 Finding Prototypes Through a Two-Step Fuzzy Approach
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    Chapter 10 Clustering Air Monitoring Stations According to Background and Ambient Pollution Using Hidden Markov Models and Multidimensional Scaling
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    Chapter 11 Marked Point Processes for Microarray Data Clustering
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    Chapter 12 Social Differentiation of Cultural Taste and Practice in Contemporary Japan: Nonhierarchical Asymmetric Cluster Analysis
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    Chapter 13 The Classification and Visualization of Twitter Trending Topics Considering Time Series Variation
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    Chapter 14 Handling Missing Data in Observational Clinical Studies Concerning Cardiovascular Risk: An Insight into Critical Aspects
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    Chapter 15 Prediction Error in Distance-Based Generalized Linear Models
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    Chapter 16 An Inflated Model to Account for Large Heterogeneity in Ordinal Data
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    Chapter 17 Functional Data Analysis for Optimizing Strategies of Cash-Flow Management
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    Chapter 18 The Five Factor Model of Personality and Evaluation of Drug Consumption Risk
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    Chapter 19 Correlation Analysis for Multivariate Functional Data
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    Chapter 20 Multi-Dimensional Scaling of Sparse Block Diagonal Similarity Matrix
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    Chapter 21 The Application of Classical and Positional TOPSIS Methods to Assessment Financial Self-sufficiency Levels in Local Government Units
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    Chapter 22 A Method for Transforming Ordinal Variables
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    Chapter 23 Big Data Scaling Through Metric Mapping: Exploiting the Remarkable Simplicity of Very High Dimensional Spaces Using Correspondence Analysis
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    Chapter 24 Comparing Partial Least Squares and Partial Possibilistic Regression Path Modeling to Likert-Type Scales: A Simulation Study
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    Chapter 25 Cause-Related Marketing: A Qualitative and Quantitative Analysis on Pinkwashing
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    Chapter 26 Predicting the Evolution of a Constrained Network: A Beta Regression Model
Attention for Chapter 18: The Five Factor Model of Personality and Evaluation of Drug Consumption Risk
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Chapter title
The Five Factor Model of Personality and Evaluation of Drug Consumption Risk
Chapter number 18
Book title
Data Science
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-55723-6_18
Book ISBNs
978-3-31-955722-9, 978-3-31-955723-6
Authors

Elaine Fehrman, Awaz K. Muhammad, Evgeny M. Mirkes, Vincent Egan, Alexander N. Gorban, Fehrman, Elaine, Muhammad, Awaz K., Mirkes, Evgeny M., Egan, Vincent, Gorban, Alexander N.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 20%
Student > Master 17 16%
Student > Ph. D. Student 13 13%
Student > Doctoral Student 6 6%
Researcher 6 6%
Other 13 13%
Unknown 28 27%
Readers by discipline Count As %
Computer Science 20 19%
Psychology 20 19%
Engineering 8 8%
Medicine and Dentistry 6 6%
Mathematics 4 4%
Other 14 13%
Unknown 32 31%

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