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Cover Art
E-RESOURCE
Author ACM-WIR (Workshop) (2018 : Indore, India)

Title Data science and big data analytics : ACM-WIR 2018 / Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal, editors.

Published Singapore : Springer, 2019.

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource.
Series Lecture notes on data engineering and communications technologies, 2367-4512 ; volume 16
Lecture notes on data engineering and communications technologies ; v. 16.
Springer Intelligent Technologies and Robotics eBooks 2019 English+International
Notes Includes author index.
Contents Intro; Preface; Contents; About the Editors; Keynote Speakers; Analysis and Evaluation of Big Data Video Quality in Wireless Networks; Publishing Ethics and Author Services; Applying Machine Learning Techniques for Big Data Analytics; Outlier Detection in Big Data; Identification and Prevention of Internet Addiction in Youth; Android: Security Issues; Tweaking Big Data Analysis for Malicious Intents; Big Data and Web Mining; Big Data and Data Science Trends: Challenges and Opportunities
A Study of the Correlation Between Internet Addiction and Aggressive Behaviour Among the Namibian University Students1 Introduction; 2 Literature Review; 3 Methodology; 3.1 Study Design and Population; 3.2 Measures and Data Collection; 3.3 Data Analysis; 4 Results and Analysis; 4.1 Descriptive Statistics; 4.2 Correlations Between Variables; 5 Conclusion; References; Genetic Algorithm Approach for Optimization of Biomass Estimation at LiDAR; 1 Introduction; 2 Review of Literature; 2.1 Biomass Estimation; 2.2 Review of Global Forest Biomass Assessment; 2.3 Spaceborne LiDAR (ICESat/GLAS)
2.4 ICESat/GLAS Data Processing3 Study Area and Materials; 4 Methodology; 5 Description of Datasets; 5.1 Satellite Data; 5.2 Field Data; 6 Genetic Approach for Optimization of LiDAR Biomass Estimation; 7 Optimization Genetic Algorithm Using R Package; 7.1 Calculate of RMSE; 8 Results and Discussions; 8.1 Analysis of GLAS Derived Waveform Parameters; 8.2 Results from Genetic Algorithm; 8.3 Biomass Equation Generated; 9 Conclusions; References
E-alive: An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care1 Introduction; 2 Motivation; 3 Preliminaries; 3.1 Maternal and Child Health Care Parameters; 3.2 Government Schemes; 3.3 Techniques of Data Mining; 4 System Implementation; 5 Results and Discussions; 6 Conclusion and Future Scope; References; An Effective TCP's Congestion Control Approach for Cross-Layer Design in MANET; 1 Introduction; 1.1 Mobile Ad Hoc Network; 1.2 Congestion Control; 1.3 Cross-Layer Design; 2 Literature Survey
3 Proposed Work3.1 Problem Identification; 3.2 Methodology; 4 Performance Analysis; 4.1 Implementation; 4.2 Result Comparisons; 5 Conclusion; References; Baron-Cohen Model Based Personality Classification Using Ensemble Learning; 1 Introduction; 2 Related Work; 3 Implementation; 3.1 Data Set Details; 3.2 Hypothesis; 3.3 Machine Learning; 3.4 K-Fold Validation (K = 10); 3.5 Ensemble Learning; 4 Results; 5 Conclusion; References; Investigation of MANET Routing Protocols via Quantitative Metrics; 1 Introduction; 2 Related Work; 3 Routing Protocols; 4 Simulation Table and Results
Other author Mishra, Durgesh Kumar, editor.
Yang, Xin-She, editor.
Unal, Aynur, editor.
SpringerLink issuing body.
Subject Big data -- Congresses.
Data mining -- Congresses.
Machine learning -- Congresses.
Electronic books.
Conference papers and proceedings.
Variant Title ACM-WIR 2019
ISBN 9789811076411 (electronic bk.)
9811076413 (electronic bk.)
9789811076404 (print)
9811076405