Advances in Data Sciences, Security and Applications : proceedings of ICDSSA 2019 /: proceedings of ICDSSA 2019. (2020)

• Record Type: Book
• Other Titles: ICDSSA 2019
• Further Information: Note: Vanita Jain, Gopal Chaudhary, M. Cengiz Taplamacioglu, M.S. Agarwal, editors.
• Other Names: Jain, Vanita; Chaudhary, Gopal; Taplamacioglu, M. Cengiz; Agarwal, M. S; International Conference on Data Sciences, Security and Applications
• Contents: Intro; Preface; Contents; About the Editors; Classification and Analysis of Real-World Earthquake Data Using Various Machine Learning Algorithms; 1 Introduction; 1.1 Data Acquisition and Description; 1.2 Feature Selection; 1.3 Data Normalization; 1.4 Data Partitioning; 2 Model Implementation, Prediction, and Optimization; 2.1 Implementation of K-Nearest Neighbor Algorithm; 2.2 Implementation of Random Forest Algorithm in R; 2.3 Implementation of Naïve Bayes Algorithm in R; 2.4 Implementation of Support Vector Machine Algorithm in R; 3 Conclusion and Future Work; References Crime Data Set Analysis Using Formal Concept Analysis (FCA): A Survey1 Introduction; 1.1 Types of Crime Analysis; 1.2 Potential Attributes for Crime Analysis; 1.3 Crime Pattern Analysis; 1.4 Crime Pattern Types; 1.5 Dimensions of Criminology; 2 Literature Analysis Using Scopus; 3 Background; 4 Preliminaries; 4.1 Formal Concept Analysis (FCA); 4.2 Definitions of Formal Concept Analysis (FCA); 5 Proposed Work; 6 Conclusion; References; Analyzing the Patterns of Delhi's Air Pollution; 1 Introduction; 1.1 Status of Air Contamination in Delhi; 2 Impacts of Air Contamination on Our Wellbeing 3 Recognizing Examples in New Delhi Zone Air Contamination4 Conclusion; 5 Future Study; References; Predictive Analysis of NARX, NLIO, and RNN Networks for Short-Term Wind Power Forecasting; 1 Introduction; 2 Description of Algorithms; 2.1 Nonlinear Auto-regressive Exogenous (NARX); 2.2 Nonlinear Input-Output (NLIO); 2.3 Recurrent Neural Network (RNN); 3 Simulation and Results; 3.1 Mean Square Error (MSE); 3.2 Mean Absolute Error (MAE); 3.3 Mean Absolute Percentage Error (MAPE); 3.4 Root Mean Square Error (RMSE); 4 Results and Discussions; 5 Conclusion; References Training Data on Recursive Parallel Processors for Deep Learning1 Introduction; 2 Literature Review; 2.1 Challenges; 3 Proposed Work; 4 Results and Analysis; 5 Conclusion and Future Work; References; Advanced Anti-theft and Accident Alert System for Two-Wheelers Using Location-Based Services; 1 Introduction; 2 Related Work; 3 Proposed System; 3.1 Hardware Module; 3.2 Software Module; 4 Results; 5 Conclusion; References; A Data Analytics Framework for Decision-Making in Agriculture; 1 Introduction; 2 Study and Background Work 2.1 Challenges and Opportunities for the Policy Statement "Diversification from Low Value to High-Value Crops Using Digital Technologies to Increase Farmers' Income"3 Data Analytics Framework; 3.1 Simulation; 3.2 Social Networking; 3.3 Statistical Analysis; 4 Conclusion; References; Design Flaws and Cryptanalysis of a Standard Mutual Authentication Protocol for Cloud Computing-Based Healthcare System; 1 Introduction; 1.1 Motivation and Contribution; 1.2 Paper Organization; 2 Overview of Mohit et al. Framework; 2.1 HUP; 2.2 PUP; 2.3 TP; 2.4 CP
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource (466 pages)
• Subjects: 006.3/1; Machine learning -- Congresses; Computer algorithms -- Congresses; Computer algorithms; Machine learning; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9789811503726; 9811503729
• Related ISBNs: 9789811503719
• Notes: Note: Print version record.
• 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.