Data science and SDGs : challenges, opportunities and realities / Bikas Kumar Sinha, Md. Nurul Haque Mollah, editors.
Sinha, Bikas Kumar, editor.; Mollah, Md. Nurul Haque, editor.; International Conference on Data Science and Sustainable Development Goals (7th : 2019 : Rajshahi, Bangladesh)
2021
HB137
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Title
Data science and SDGs : challenges, opportunities and realities / Bikas Kumar Sinha, Md. Nurul Haque Mollah, editors.
ISBN
9789811619199 (electronic bk.)
9811619190 (electronic bk.)
9811619182
9789811619182
DOI
https://doi.org/10.1007/978-981-16-1919-9
Publication Details
Singapore : Springer, 2021.
Language
English
Description
1 online resource
Item Number
10.1007/978-981-16-1919-9 doi
Call Number
HB137
Dewey Decimal Classification
330.015195
Summary
The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 20, 2021).
Added Author
Sinha, Bikas Kumar, editor.
Mollah, Md. Nurul Haque, editor.
Added Meeting Name
International Conference on Data Science and Sustainable Development Goals (7th : 2019 : Rajshahi, Bangladesh)
Available in Other Form
Print version: 9789811619182
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Chapter 1: SDGs in Bangladesh: Implementation Challenges & Way Forward
Chapter 2: Some Models and Their Extensions for Longitudinal Analyses
Chapter 3: Association of IL-6 Gene rs1800796 Polymorphism with Cancer Risk: A Meta-Analysis
Chapter 4: Two Level Logistic Regression Analysis of Factors Influencing Dual form of Malnutrition in Mother-child Pairs: A Household Study in Bangladesh
Chapter 5: Divide and Recombine Approach for Analysis of Failure Data Using Parametric Regression Model
Chapter 6: Performance of different data mining methods for predicting rainfall of Rajshahi district, Bangladesh
Chapter 7: Generalized Vector Auto-regression Controlling Intervention and Volatility for Climatic Variables
Chapter 8: Experimental Designs for fMRI Studies in Small Samples
Chapter 9: Bioinformatic Analysis of Differentially Expressed Genes (DEGs) Detected from RNA-Sequencing Profiles of Mouse Striatum
Chapter 10: Level of Serum High-sensitivity C-reactive protein Predicts Atherosclerosis and Coronary Artery Disease in Hyperglycemic Patients
Chapter 11: Identification of Outliers in Gene Expression Data
Chapter 12: Selecting Covariance Structure to Analyze Longitudinal Data: A Study to Model the Body Mass Index of Primary School Going Children in Bangladesh
Chapter 13: Statistical Analysis of Various Optimal Latin Hypercube Designs
Chapter 14: Erlang Loss Formulas: An Elementary Derivation
Chapter 15: Machine Learning, Regression and Numerical Optimization.

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