Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges: ICBCC 2019, UMKC, Kansas City, USA (Smart Innovation, Systems and Technologies Book 164)

The book presents papers from the 6th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2019), held at the University of Missouri, Kansas City, USA, on September 9 and 10, 2019 and organized in collaboration with VIT Chennai. The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on how to address the current challenges in the field. As such it is a valuable reference resource for researchers and practitioners in academia and industry. Preface 6 Contents 9 About the Editors 11 Big Data 13 1 Big Data in Healthcare: Challenges and Promise 14 1.1 Introduction 14 1.2 Big Data: Definition Derivation Dimensions 16 1.2.1 What is Big Data? 16 1.2.2 From What Sources Big Data is Being Derived? 16 1.2.3 C. 3 Versus or Dimensions of Big Data 17 1.3 How Big Data is Handled 18 1.3.1 Big Data Chain Value 18 1.4 Big Data in Health Care 20 1.4.1 Healthcare Monitoring 21 1.4.2 Healthcare Prediction 21 1.4.3 Using IoT Along with Big Data 22 1.4.4 Healthcare Management Systems 22 1.4.5 Healthcare Insurance Analytics 23 1.4.6 Performance Enhancements 23 1.4.7 Personalized Healthcare Systems 24 1.5 Current Scenario of Big Data in Health Care 24 1.6 Challenges 25 1.6.1 Data Usability/Trustworthiness 25 1.6.2 Industry Willingness 26 1.6.3 Security and Privacy Concerns of Health Data 26 1.6.4 Data Fragmentation 26 1.7 Conclusion 26 References 27 2 MEDIDRONE—A Predictive Analytics-Based Smart Healthcare System 29 2.1 Introduction 30 2.2 Related Work 31 2.3 Proposed Work 32 2.3.1 Sensors 34 2.3.2 Data Collection 34 2.3.3 Cloud Processing 35 2.3.4 Alert Generation 36 2.4 Experimental Setup and Result Analysis 37 2.5 Conclusion 42 References 43 3 Sales Segmentation for a Mobile Phone Service Through Logistic Regression Algorithm 44 3.1 Introduction 44 3.2 Method 45 3.2.1 Database 45 3.2.2 Method: Logistic Regression 45 3.2.3 Segmentation and Customer Dimension 47 3.3 Results 48 3.4 Conclusions 51 References 51 4 Predictive Model for Detecting Customer’s Purchasing Behavior Using Data Mining 54 4.1 Introduction 54 4.2 Method 56 4.2.1 Data 56 4.2.2 Methods 56 4.3 Results 58 4.3.1 Linear Regression Accumulated Sale 34 Cycles (2 Years) 58 4.3.2 Multiple Regression Analysis 60 4.3.3 Model Comparison 60 4.4 Conclusions 62 References 62 5 Prediction Rules in E-Learning Systems Using Genetic Programming 64 5.1 Introduction 65 5.2 Theoretical Review 65 5.2.1 GB-GP for Rule Discovery 65 5.2.2 Knowledge Discovery Process: Learning Resources Nterchange 66 5.3 Method 67 5.3.1 Used Information 67 5.3.2 LRN Tool for Rule Discovery 67 5.4 Results 67 5.4.1 Description of the Discovered Information 69 5.5 Conclusions 70 References 71 6 Database Knowledge Discovery in Marketing Companies 73 6.1 Introduction 73 6.2 Method 75 6.2.1 Data 75 6.2.2 Methods 75 6.3 Results 76 6.3.1 Data Preparation Phase 76 6.3.2 Data Mining Phase: Descriptive Task Association Rules 77 6.3.3 Data Mining Phase 79 6.4 Conclusions 82 References 82 7 Segmentation of Sales for a Mobile Phone Service Through CART Classification Tree Algorithm 84 7.1 Introduction 84 7.2 Method 85 7.2.1 Database 85 7.2.2 Methods 85 7.3 Results 87 7.3.1 Classification Rules for CEF Customers (Effective Sales Contact) 88 7.3.2 Classification Rules for CNE Customers (Non-cash Non-sale Contact) 89 7.3.3 Classification Tree Assessment 89 7.4 Conclusions 90 References 91 8 Influence of Knowledge Management Between the Bank and the Local Socioeconomic Development: Correlational Analysis 93 8.1 Introduction 94 8.2 The Knowledge in the Local Space 95 8.3 Models of Knowledge Management 96 8.4 Materials and Methods 98 8.4.1 Participants 98 8.4.2 Analysis of Variables 98 8.4.3 Design of the Model 101 8.4.4 Data Design and Analysis 104 8.5 Results 104 8.5.1 Linear Correlation and Hypothesis Testing Among the Variables Analyzed 104 8.5.2 Linear Correlation and Hypothesis Testing Among the Variables Analyzed 105 8.6 Discussion of Results 107 8.7 Conclusions 108 References 108 9 Characterization of Latin American Universities in the TOP10 of the Rankings 110 9.1 Introduction 111 9.2 Method 112 9.2.1 Data 112 9.2.2 Data Preprocessing 113 9.3 Results 113 9.3.1 Scimago Institutions Rankings (SIR) 113 9.3.2 General Analysis of TOP10 Universities 113 9.4 Research Rank SIR-Scimago 116 9.4.1 Innovation Rank SIR-Scimago 116 9.4.2 SIR-Scimago Societal Rank 119 9.5 Conclusions 121 References 122 10 A Graph-Based Node Identification Model in Social Networks 124 10.1 Introduction 124 10.2 Literature Survey 125 10.3 Proposed Make Model 126 10.3.1 Phase 1: Pre-processing 126 10.3.2 Phase 2: Textual Graph Representation 127 10.3.3 Phase 3: Vertex Allocation 127 10.3.4 Phase 4: Keyword Extraction 129 10.4 Experimental Evaluation 130 10.4.1 Evaluation Metrics 130 10.4.2 Results and Discussions 131 10.5 Conclusion and Future Works 134 References 134 Cloud Computing 136 11 Automated Resource Management on AWS Cloud Platform 137 11.1 Introduction 137 11.2 Literature Survey 139 11.3 Toolkit to Design the Platform and Automation 142 11.3.1 TerraForm 142 11.3.2 Jenkins 142 11.3.3 AWS 142 11.3.4 Problem Definition 143 11.4 Proposed Method 144 11.4.1 Auto-Tags 144 11.4.2 Daily Intimation 145 11.4.3 Weekly Intimation 145 11.4.4 Weekly Deletion 147 11.5 Results 148 11.5.1 Auto-Tag 148 11.5.2 Daily Intimation 148 11.5.3 Weekly Intimation 149 11.5.4 Resource Deletion 149 11.6 Conclusion 150 References 150 12 Multiobjective Virtual Machine Placement Using Evolutionary Algorithm with Decomposition 152 12.1 Introduction 152 12.2 VMP Formulation and Objectives 153 12.2.1 Objective Formulation 155 12.3 Multiobjective Optimization 156 12.4 Multiobjective Evolutionary Optimization Algorithms 157 12.4.1 Non-elitist Multiobjective Algorithms 157 12.4.2 Elitist Multiobjective Algorithms 158 12.5 Experimental Results 160 12.5.1 Experimental Setup 160 12.5.2 Performance Indicators for Multiobjective Problems 161 12.6 Conclusion 163 References 164 VANET and Block Chain 166 13 Reliable Broadcast Based Emergency Data Dissemination in VANET by Segmentation of Road Using Contention Window by Hybrid Partitioning Approach 167 13.1 Introduction 168 13.1.1 Motivation and Problem Description 169 13.1.2 Contribution 169 13.2 Theoretical Background and Literature Survey 170 13.2.1 Data Dissemination, DSRC and Contention Window 170 13.2.2 Literature Review 170 13.3 Design and Analysis of the Proposed Protocol 172 13.3.1 Algorithm for Hybrid Partitioning Approach to Data Dissemination (HPADD) 172 13.3.2 Simulation Using Roadside Segmentation Based on Contention Window 173 13.4 Performance Results and Analysis 175 13.4.1 Calculation of Metrics Using Parameters 175 13.4.2 Output Results of Tunable Parameter 176 13.5 Conclusion 178 References 178 14 Managing Blockchain Projects with Agile Methodology 180 14.1 Introduction 180 14.2 Literature Review 181 14.3 Conclusion 187 References 188 Author Index 189 Front Matter ....Pages i-xii Front Matter ....Pages 1-1 Big Data in Healthcare: Challenges and Promise (Siddharth Kale, Harsh Tamakuwala, V. Vijayakumar, Longzhi Yang, Bharat S. Rawal Kshatriya)....Pages 3-17 MEDIDRONE—A Predictive Analytics-Based Smart Healthcare System (D. Sangeetha, M. Venkata Rathnam, R. Vignesh, Jitta Sai Chaitanya, V. Vaidehi)....Pages 19-33 Sales Segmentation for a Mobile Phone Service Through Logistic Regression Algorithm (Amelec Viloria, Guojun Wang, Mercedes Gaitan)....Pages 35-44 Predictive Model for Detecting Customer’s Purchasing Behavior Using Data Mining (Amelec Viloria, Jin Li, Jesús García Guiliany, Boris de la Hoz)....Pages 45-54 Prediction Rules in E-Learning Systems Using Genetic Programming (Amelec Viloria, Mercedes Gaitan Angulo, Sadhana J. Kamatkar, Juan de la Hoz – Hernandez, Jesús García Guiliany, Osman Redondo Bilbao et al.)....Pages 55-63 Database Knowledge Discovery in Marketing Companies (Amelec Viloria, Jin Li, Jessica Manosalva Sandoval, Jesús Vargas Villa)....Pages 65-75 Segmentation of Sales for a Mobile Phone Service Through CART Classification Tree Algorithm (Amelec Viloria, Guojun Wang, Mercedes Gaitan)....Pages 77-85 Influence of Knowledge Management Between the Bank and the Local Socioeconomic Development: Correlational Analysis (Aliana Gómez Pons, Omar Bonerge Pineda Lezama, Noel Varela Izquierdo, Hernán Hernández Herrera, Jesús Silva)....Pages 87-103 Characterization of Latin American Universities in the TOP10 of the Rankings (Maritza Torres-Samuel, Carmen Vásquez, Marisabel Luna, Nunziatina Bucci, Amelec Viloria, Jesús Vargas)....Pages 105-118 A Graph-Based Node Identification Model in Social Networks (V. Subramaniyaswamy, V. Vijayakumar, Dhivya Sri, Jane Tresa, Logesh Ravi)....Pages 119-130 Front Matter ....Pages 131-131 Automated Resource Management on AWS Cloud Platform (Simeen Sheikh, G. Suganya, M. Premalatha)....Pages 133-147 Multiobjective Virtual Machine Placement Using Evolutionary Algorithm with Decomposition (Arunkumar Gopu, V. Neelanarayanan)....Pages 149-162 Front Matter ....Pages 163-163 Reliable Broadcast Based Emergency Data Dissemination in VANET by Segmentation of Road Using Contention Window by Hybrid Partitioning Approach (Ashok R. Patel, Piyush O. Arora)....Pages 165-177 Managing Blockchain Projects with Agile Methodology (Ghassan Al-Mazrouai, Smiju Sudevan)....Pages 179-187 Back Matter ....Pages 189-190