Data science and big data analytics : ACM-WIR 2018 /: ACM-WIR 2018. (2019)

• Record Type: Book
• Other Titles: ACM-WIR 2019
• Further Information: Note: Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal, editors.
• Editors: Mishra, Durgesh Kumar; Yang, Xin-She; Unal, Aynur
• Other Names: ACM-WIR (Workshop)
• 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
• Publisher Details: Singapore : Springer
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 005.7; COMPUTERS / Database / General; Big data; Data mining; Machine learning; Big data -- Congresses; Data mining -- Congresses; Machine learning -- Congresses; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9789811076411; 9811076413
• Related ISBNs: 9789811076404; 9811076405
• Notes: Note: Online resource; title from PDF title page (Library Ideas, viewed Aug. 8, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.