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Index
Cover
Title Page
Copyright Page
Editor-in-Chief
Associate Editors
Editorial Advisory Board
Preface
Section 1: Fundamental Concepts and Theories
Chapter 1: A Review of Infrastructures to Process Big Multimedia Data
ABSTRACT
1. INTRODUCTION
2. BIG DATA
3. MACHINE LEARNING FOR BIG MULTIMEDIA DATA
4. MACHINE LEARNING FOR BIG MULTIMEDIA DATA REVIEW
5. CONCLUSION
REFERENCES
ENDNOTES
Chapter 2: Machine Learning in Healthcare, Introduction and Real World Application Considerations
ABSTRACT
INTRODUCTION
HEALTHCARE AS FIELD OF APPLICATION
RESEARCH BACKGROUND
THE REAL-WORLD APPROACH
CHALLENGES
CONCLUSION
REFERENCES
Chapter 3: It is All in the Design
ABSTRACT
INTRODUCTION
RATIONAL FOR MIXED METHODS AND SEQUENCING OF THE DATA COLLECTION
MAJOR MIXED METHODS DATA COLLECTION AND ANALYSIS APPROACHES
CONCLUSION
REFERENCES
Chapter 4: Cognitive Computing
ABSTRACT
1. INTRODUCTION
2. THE THEORETICAL FRAMEWORK OF BRAIN AND INTELLIGENCE SCIENCES FOR COGNITIVE COMPUTING
3. NO SUBSTANCE-FREE COGNITION HERE!
4. HUMAN COGNITION IN NEUROCOMPUTATION, MACHINE LEARNING AND BRAIN-INSPIRED SYSTEMS
5. COGNITIVE CONVERGENCE OF SOCIAL MEDIA AND REMOTE SENSING
6. EMOTIONS-BASED LEARNING BEYOND MOTIVATION TOWARDS A MACHINE PASSION AND EMERGENT PERSONALITY
7. COGNITIVE MACHINE LEARNING TOWARDS SELF-DRIVING CARS
8. GRANULAR COMPUTING FOR BIG DATA ENGINEERING
9. AUTONOMOUS ONTOLOGY GENERATION BY COGNITIVE MACHINE LEARNING
10. CONCLUSION
REFERENCES
Chapter 5: Abstract Intelligence
ABSTRACT
1. INTRODUCTION
2. THE THEORETICAL FRAMEWORK OF BRAIN AND INTELLIGENCE SCIENCES
3. COMPUTING WITH WORDS (CWW) AND INVALUENCE
4. LEARNINGS AND INNOVATIONS IN SPEECH RECOGNITION IN GOOGLE
5. COGNITIVE CONVERGENCE OF INTELLIGENT CLOUD COMPUTING
6. DATA CORRELATION VS. INFORMATION DIVERSITY
7. PERSPECTIVES ON COGNITIVE COMPUTING, BIG DATA COGNITION, AND MACHINE LEARNING
8. BASIC RESEARCH ON SELF-DRIVING
9. COGNITIVE COMPUTING AS A PATH TO REAL COGNITION AND ARTIFICIAL INTELLIGENCE
10. BIG DATA NEEDS COGNITIVE COMPUTING
11. LEARNING THROUGH OVERCOMING INCONSISTENCIES
12. CONCLUSION
REFERENCES
Chapter 6: Data Mining Problems Classification and Techniques
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. DATA MINING PROBLEMS CLASSIFICATION
4. DISCUSSIONS
5. CONCLUSION
REFERENCES
Section 2: Development and Design Methodologies
Chapter 7: Designs of Mixed Method Research
ABSTRACT
INTRODUCTION
COMMON MIXED METHODS DESIGN
STRENGTHS AND CHALLENGES OF MIXED METHODS DESIGN
CRITERIA FOR USE OF MIXED METHODS DESIGNS
EXAMPLES OF MIXED METHODS DESIGN
FUTURE RESEARCH AREAS
CONCLUSION
REFERENCES
ADDITIONAL READING
KEY TERMS AND DEFINITIONS
Chapter 8: Malicious Application Detection and Classification System for Android Mobiles
ABSTRACT
INTRODUCTION
RELATED WORKS
ANDROID PERMISSION MODEL
RESEARCH METHODOLOGY
EXPERIMENT SETUP
RESULT AND DISCUSSION
CONCLUSION
REFERENCES
Chapter 9: Classification of Sentiment of Reviews using Supervised Machine Learning Techniques
ABSTRACT
1. INTRODUCTION
2. LITERATURE SURVEY
3. METHODOLOGY
4. PROPOSED APPROACH
5. PERFORMANCE EVALUATION
6. CONCLUSION AND FUTURE WORK
ACKNOWLEDGMENT
REFERENCES
Chapter 10: Congestion Avoidance and Delay Minimization in Energy Aware Routing of Dynamic ieee 802.11s WMN
ABSTRACT
INTRODUCTION
Problem Statement
Related Works
Mathematical Model for the Proposed System
Proposed system model
Algorithm
Results and Discussion
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 11: Two-Level Data Collection for an Energy-Efficient Solution in Wireless Sensor Networks
ABSTRACT
1. INTRODUCTION
2. MULTI-AGENT SYSTEMS FOR DATA AGGREGATION IN WSNS
3. THE PROPOSED APPROACH
4. MODELING THE TL-SSDC WITH TIMED AUTOMATA USING UPPAAL
5. PERFORMANCE RESULTS
6. CONCLUSION
REFERENCES
Chapter 12: Graph-Based Semi-Supervised Learning With Big Data
ABSTRACT
1. INTRODUCTION
2. STATISTICAL MACHINE LEARNING PROBLEM SETUP
3. AN OVERVIEW OF SEMI-SUPERVISED LEARNING
4. ANCHOR GRAPHS IN SEMI-SUPERVISED LEARNING
5. EMPIRICAL DEMONSTRATIONS
6. DISCUSSION
ACKNOWLEDGMENT
REFERENCES
Chapter 13: Extracting Rules for Decreasing Body Fat Mass Using Various Classifiers from Daily Lifestyle Habits Data
ABSTRACT
1. INTRODUCTION
2. DATASET
3. METHODOLOGY FOR ILP
4. METHODOLOGY FOR OTHER COMMON CLASSIFIERS
5. RESULTS AND DISCUSSION
6. CONCLUSION AND FUTURE WORK
ACKNOWLEDGMENT
REFERENCES
Chapter 14: Designing Extreme Learning Machine Network Structure Based on Tolerance Rough Set
ABSTRACT
INTRODUCTION
RELATED WORK
THE SCHEDULING SCHEME OF EXTREME LEARNING MACHINE
THE ALGORITHM OF TOLERANCE ROUGH SET
THE EXPERIMENT AND ANALYSIS FOR EXPERIMENTAL DATA
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 15: Comparison of Several Acoustic Modeling Techniques for Speech Emotion Recognition
ABSTRACT
INTRODUCTION
METHODOLOGY
EXPERIMENTAL RESULTS AND DISCUSSION
CONCLUSION
REFERENCES
Chapter 16: Machine Learning Approaches for Supernovae Classification
ABSTRACT
INTRODUCTION
BACKGROUND
CATEGORIZATION OF SUPERNOVA
MACHINE LEARNING TECHNIQUES
SUPERNOVAE DATA SOURCE AND CLASSIFICATION
RESULTS AND ANALYSIS
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
Chapter 17: Predicting Human Actions Using a Hybrid of ReliefF Feature Selection and Kernel-Based Extreme Learning Machine
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
EXPERIMENTAL RESULTS AND DISCUSSION
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 18: Improving Auto-Detection of Phishing Websites using Fresh-Phish Framework
ABSTRACT
INTRODUCTION
METHODS
RESULTS AND DISCUSSION
CONCLUSION AND FUTURE WORK
ACKNOWLEDGMENT
REFERENCES
Chapter 19: Big Data and Its Visualization With Fog Computing
ABSTRACT
1. INTRODUCTION: WHAT IS BIG DATA?
2. CHARACTERISTICS OF BIG DATA
3. HADOOP-RELATED PROJECTS
4. THE INTERFACE OF COMPONENTS OF BIG DATA STACK
5. CLOUD AND FOG COMPUTING
6. BIG DATA ANALYTICS SOFTWARE AND PLATFORMS
7. FOG COMPUTING SOFTWARE AND PLATFORMS
8. BIG DATA VISUALIZATION
9. BIG DATA VISUALIZATION SOFTWARE
10. BIG DATA VISUALIZATION FOR STREAMING DATA
11. BIG DATA VISUALIZATION SOFTWARE FOR MOBILE DEVICES AND TABLETS
12. CHALLENGES FOR BIG DATA AND FOG COMPUTING
13. OPPORTUNITIES FOR BIG DATA AND FOG COMPUTING
14. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
KEY TERMS AND DEFINITIONS
APPENDIX: ADDITIONAL WEB-BASED BIG DATA VISUALIZATION SOFTWARE
Chapter 20: Influential Researcher Identification in Academic Network Using Rough Set Based Selection of Time-Weighted Academic and Social Network Features
ABSTRACT
INTRODUCTION
RELATED WORK
INFLUENTIAL ANALYSIS
FEATURE SELECTION
TIME WEIGHTED EDGES
METHODOLOGY
FEATURE EXTRACTION
ACADEMIC FEATURES
FEATURE SELECTION USING ENTROPY BASED ROUGH SET THEORY
FEATURE EVALUATION
CONCLUSION
REFERENCES
ENDNOTES
Chapter 21: Best Features Selection for Biomedical Data Classification Using Seven Spot Ladybird Optimization Algorithm
ABSTRACT
1. INTRODUCTION
2. RELATED WORK
3. FEATURE SELECTION METHODS:
4. FS-SLOA ALGORITHM
5. PROPOSED APPROACH
6. CLASSIFICATION ALGORITHMS
7. THE EXPERIMENTS
8. CONCLUSION
REFERENCES
Chapter 22: Feature Selection Algorithms for Classification and Clustering
ABSTRACT
INTRODUCTION
GENERAL METHODS FOR FEATURE SELECTION
FILTER-BASED FEATURE SELECTION METHOD
WRAPPER-BASED FEATURE SELECTION METHOD
FEATURE SELECTION ALGORITHMS
CONCLUSION
REFERENCES
Chapter 23: Methods and Processes for District-Wide Literacy Evaluation
ABSTRACT
INTRODUCTION
PERSPECTIVES
PROCESSES FOR EVALUATING A DISTRICT-WIDE LITERACY PROGRAM
RESULTS
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
APPENDIX A: EXCERPT FROM TEACHER SURVEY
APPENDIX B: EXCERPT FROM ACTION PLAN DEVELOPED FOR REGENT SCHOOL DISTRICT
Chapter 24: Brave New Digital Tools for Action Research in Education
ABSTRACT
INTRODUCTION
CLARIFYING THE STARTING POINT AND THE ANALYSIS FRAMEWORK
HOW CAN TABLETS ESTABLISH NEW WAYS OF TEACHING AND LEARNING? - AN ACTION RESEARCH PROJECT
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
ENDNOTES
APPENDIX
Chapter 25: User-Oriented Video Streaming Service Based on Passive Aggressive Learning
ABSTRACT
INDTRODUCTION
RELATED WORKS AND CHALLENGES
QoS DETERMINING METHOD BASED ON PASSIVE AGGRESSIVE LEARNING
EXPERIMENT AND EVALUATION
CONCLUSION
REFERENCES
ENDNOTES
Chapter 26: A Taxonomy of Data Mining Problems
ABSTRACT
INTRODUCTION
LITERATURE REVIEW
DATA MINING PROBLEM TAXONOMY
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 27: Inquiry-Based Learning on the Cloud
ABSTRACT
INTRODUCTION
THE weSPOT PEDAGOGICAL APPROACH
THE weSPOT INQUIRY SPACE
A CASE STUDY ON CO-LEARNING AND CO-INQUIRY
FINDINGS AND LESSONS LEARNED
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
KEY TERMS AND DEFINITIONS
ENDNOTES
Chapter 28: Model-Driven Multi-Domain IoT
ABSTRACT
INTRODUCTION
THE SENSORHUB FRAMEWORK
SEVERAL DOMAINS, BIG DATA, BIG CHALLENGES, GREAT OPPORTUNITIES
MODEL-DRIVEN MULTI-DOMAIN IOT
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 29: AI and Statistical Technologies for Manufacturing and Maintenance Strategies Improvement
ABSTRACT
1 INTRODUCTION
2 DATA ACQUISITION AND EXPERIMENTATION
3 HEALTH ASSESSMENT THROUGH VIBRATION AND DATA MINING ANALYSIS
4 EXPERIMENTAL RESULTS
5 CONCLUSION AND FUTURE WORK
ACKNOWLEDGMENT
REFERENCES
Chapter 30: A Hybrid GSA-K-Mean Classifier Algorithm to Predict Diabetes Mellitus
ABSTRACT
1. INTRODUCTION
2. LITERATURE SURVEY
3. BACKGROUND OF K-MEANS CLUSTERING ALGORITHM
4. GSA: AN OVERVIEW
5. PROPOSED APPROACH
6. MATERIALS AND METHOD
7. SIMULATION RESULTS
8. CONCLUSION AND FUTURE WORK
REFERENCES
Chapter 31: Creating and Implementing a Mixed Method Research Study
ABSTRACT
INTRODUCTION
STARTING YOUR RESEARCH JOURNEY
ASSUMPTIONS THAT DIFFERENTIATE QUALITATIVE AND QUANTITATIVE STUDIES
STEPS IN CONDUCTING A MIXED METHODS RESEARCH STUDY
REFERENCES
Section 3: Tools and Technologies
Chapter 32: Managing Seven Dimensions of ICT4D Projects to Address Project Challenges
ABSTRACT
BACKGROUND
GUIDANCE TO CUSTOMIZE PMP IN DEVELOPING NATIONS
METHODS
FINDINGS
FUTURE RESEARCH DIRECTIONS
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
ADDITIONAL READING
KEY TRENDS AND DEFINITIONS
Chapter 33: A Novel Machine Learning Algorithm for Cognitive Concept Elicitation by Cognitive Robots
ABSTRACT
1. INTRODUCTION
2. MATHEMATICAL MODELS FOR COGNITIVE KNOWLEDGE LEARNING
3. ALGORITHM OF COGNITIVE KNOWLEDGE LEARNING BY COGNITIVE ROBOTS
4. EXPERIMENTAL RESULTS OF COGNITIVE MACHINE LEARNING
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 34: Digital Forensic and Machine Learning
ABSTRACT
INTRODUCTION TO FORENSIC COMPUTING
NEED FOR DIGITAL FORENSIC
DIGITAL FORENSIC TOOLS
TYPES OF FORENSIC HARDWARE
DIGITAL FORENSIC INVESTIGATION SOFTWARE TOOLS
MACHINE LEARNING
DIGITAL FORENSIC AND MACHINE LEARNING
SOLUTION
A SUMMARIZED WORKFLOW OF THE METHODOLOGY
CONCLUSION AND FUTURE WORK
REFERENCES
Chapter 35: Quantitative Semantic Analysis and Comprehension by Cognitive Machine Learning
ABSTRACT
1. INTRODUCTION
2. MATHEMATICAL MODELS OF FORMAL CONCEPTS AND THE SEMANTIC SPACE OF KNOWLEDGE
3. ALGORITHM AND EXPERIMENTS ON SEMANTIC EQUIVALENCE BETWEEN FORMAL CONCEPTS
4. ALGORITHM AND EXPERIMENTS OF HIERARCHICAL SEMANTIC CLASSIFICATION OF FORMAL KNOWLEDGE
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 36: Implementation of n-gram Methodology for Rotten Tomatoes Review Dataset Sentiment Analysis
ABSTRACT
INTRODUCTION
LITERATURE SURVEY
MATERIALS AND METHODS
IMPORTANCE OF MACHINE LEARNING METHOD
SUGGESTED APPROACH
IMPLEMENTATION
RESULTS AND DISCUSSION
CONCLUSION
REFERENCES
Chapter 37: Discovering News Frames
ABSTRACT
INTRODUCTION
PREVIOUS WORKS
CONTEXTUAL CASE
METHODS
EVALUATION AND RESULTS
CONCLUSION
ACKNOWLEGMENT
REFERENCES
Chapter 38: Using Hearing Assistance Technology to Improve School Success for All Children
ABSTRACT
INTRODUCTION
BACKGROUND
HEARING ASSISTANCE TECHNOLOGY IN THE CLASSROOM
SOLUTIONS AND RECOMMENDATIONS
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 39: Improving Logging Prediction on Imbalanced Datasets
ABSTRACT
INTRODUCTION
RELATED WORK
BACKGROUND
LOGIM MODEL
EXPERIMENTAL DETAILS
EXPERIMENTAL RESULTS
DISCUSSION
THREATS TO VALIDITY
CONCLUSION
REFERENCES
APPENDIX: DATA SET DETAILS
Chapter 40: Comparative Study of Classification Models with Genetic Search Based Feature Selection Technique
ABSTRACT
INTRODUCTION
LITERATURE SURVEY
METHODOLOGY
RESEARCH DATA
PROPOSED ARCHITECTURE
RESULT AND DISCUSSION
CONCLUSION
REFERENCES
Chapter 41: Mobile + Cloud
ABSTRACT
INTRODUCTION
CORE TECHNIQUES OF MOBILE CLOUD COMPUTING
APPLICATIONS OF MOBILE AND CLOUD SENSING
CHALLENGES OF MOBILE CLOUD COMPUTING SYSTEMS
CONCLUSION AND FUTURE DIRECTIONS
REFERENCES
Chapter 42: Speaker Recognition With Normal and Telephonic Assamese Speech Using I-Vector and Learning-Based Classifier
ABSTRACT
INTRODUCTION
THEORETICAL CONSIDERATIONS
LITERATURE SURVEY OF VARIOUS WORKS DONE RELATED TO OUR TOPICS OF DISCUSSION
SYSTEM MODEL AND SPEECH DATABASE
EXPERIMENTAL RESULTS AND DISCUSSIONS
CONCLUSION
REFERENCES
Chapter 43: Intelligent Models to Predict the Prognosis of Premature Neonates According to Their EEG Signals
ABSTRACT
1. INTRODUCTION
2. FEATURES IN EEG SIGNAL THAT AFFECT THE PROGNOSIS OF A PREMATURE NEWBORN
3. DATASET USED IN MACHINE LEARNING
4. MACHINE LEARNING
5. DISCUSSION AND COMPARATIVE STUDY FOR RESULTS OF FOUR MODELS
6. CONCLUSION AND PERSPECTIVE
REFERENCES
Chapter 44: A Dynamic and Scalable Decision Tree Based Mining of Educational Data
ABSTRACT
INTRODUCTION
BACKGROUND
THE NEW DYNAMIC AND SCALABLE APPROACH
IMPLEMENTATIONS AND RESULTS
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
ADDITIONAL READING
KEY TERMS AND DEFINITIONS
Chapter 45: Auto Associative Extreme Learning Machine Based Hybrids for Data Imputation
ABSTRACT
INTRODUCTION
BACKGROUND
PROPOSED METHODOLOGY
EXPERIMENTAL DESIGN
RESULTS AND DISCUSSIONS
CONCLUSION AND FUTURE WORK
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 46: Mammogram Classification Using Support Vector Machine
ABSTRACT
INTRODUCTION
BACKGROUND AND RELATED WORK
METHODOLOGY AND CASE STUDY
MACHINE LEARNING TECHNIQUES
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
Chapter 47: Sentiment Analysis with Text Mining in Contexts of Big Data
ABSTRACT
INTRODUCTION
RELATED WORK
A BIG DATA ARCHITECTURE FOR SENTIMENT ANALYSIS
IMPLEMENTATION OF THE PROPOSED ARCHITECTURE IN A BIG DATA CONTEXT
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 48: Fingerprint Matching Using Rotational Invariant Orientation Local Binary Pattern Descriptor and Machine Learning Techniques
ABSTRACT
1. INTRODUCTION
2. PROPOSED OLBP FEATURES
3. MACHINE LEARNING ALGORITHMS
4. PROPOSED HYBRID ALGORITHM VARIANTS
5. FEATURE EXTRACTION AND MATCHING
6. EXPERIMENTAL RESULTS AND DISCUSSION
7. CONCLUSION
REFERENCES
Chapter 49: Spatial Modeling and Geovisualization of Rental Prices for Real Estate portals
ABSTRACT
INTRODUCTION
STATE OF THE ART OF ANALYZING AND MAPPING RENTAL PRICES
SELECTION OF SPATIAL MODELING AND VISUALIZATION ALTERNATIVES
CONCLUSION
REFERENCES
ENDNOTES
Chapter 50: A Cyber-Physical Photovoltaic Array Monitoring and Control System
ABSTRACT
1. INTRODUCTION
2. DYNAMIC MODELS FOR SKYLINE VIDEOS
3. USE OF MACHINE LEARNING FOR FAULT DETECTION
4. CONSENSUS BASED DISTRIBUTED FAULT DETECTION
5. SECURITY IN PV SYSTEMS USING CONTINUOUS AUTHENTICATION
6. DESIGN OF SOLAR EXPERIMENTAL RESEARCH FACILITY
7. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 51: Data Mining Approach for Predicting the Likelihood of Infertility in Nigerian Women
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSIONS
CONCLUSION
REFERENCES
Chapter 52: Music Emotions Recognition by Machine Learning With Cognitive Classification Methodologies
ABSTRACT
1. INTRODUCTION
2. THE VALENCE-AROUSAL EMOTION MODEL AND RELATED DATABASES
3. FEATURE EXTRACTION FROM MUSIC EMOTIONS
4. EXPERIMENTS OF MUSICAL EMOTION CLASSIFICATION
5. CONCLUSION AND FUTURE WORK
ACKNOWLEDGMENT
REFERENCES
Chapter 53: An Online Intrusion Detection System to Cloud Computing Based on Neucube Algorithms
ABSTRACT
INTRODUCTION
RELATED WORKS
PROPOSED METHODOLOGY
NEUCUBE ARCHITECTURE: A FRAMEWORK FOR NETWORK TRAFFIC BEHAVIOR
EXPERIMENTAL DESIGN AND TEST RESULTS
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 54: Speech Enhancement Using Heterogeneous Information
ABSTRACT
INTRODUCTION
RELATED WORKS
FRAMEWORK
SPEECH EHANCEMENT USING ACOUSTIC AND THROAT MICROPHONE RECORDINGS
EXPERIMENTS
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Section 4: Utilization and Applications
Chapter 55: The Diagnosis of Dengue Disease
ABSTRACT
1. INTRODUCTION
2. RELATED WORK
3. MACHINE LEARNING APPROACHES
4. PROPOSED DIAGNOSTIC MODEL
5. RESULTS AND DISCUSSIONS
6. CONCLUSION
REFERENCES
APENDIX A
APPENDIX B
Chapter 56: A Comparative Study of Machine Learning Techniques for Gesture Recognition Using Kinect
ABSTRACT
INTRODUCTION
BACKGROUND
GESTURE RECOGNITION AS A MACHINE LEARNING PROBLEM
EXPERIMENTAL RESULTS
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 57: R4 Model for Case-Based Reasoning and Its Application for Software Fault Prediction
ABSTRACT
1. INTRODUCTION
2. OVERVIEW OF MACHINE LEARNING
3. CASE-BASED REASONING
4. LITERATURE SURVEY
5. METHODOLOGY OVERVIEW
6. THE NORMALIZER
7. DEVELOPMENT OF MODEL
8. RESULTS AND DISCUSSION
REFERENCES
APPENDIX A
Chapter 58: Machine Learning Classification of Tree Cover Type and Application to Forest Management
ABSTRACT
INTRODUCTION
METHODOLOGY AND APPROACH
EXPERIMENTS AND MODEL TRAINING
FINAL RESULTS
COMPARISON WITH PAST RESEARCH RESULTS
CHALLENGES AND FUTURE WORK
SUMMARY AND CONCLUSION
REFERENCES
Chapter 59: Diagnosis Rule Extraction from Patient Data for Chronic Kidney Disease Using Machine Learning
ABSTRACT
INTRODUCTION
METHODOLOGY
DATA SET
KNOWLEDGE EXTRACTED AS DIAGNOSIS RULES
VALIDATION OF CKD DIAGNOSIS RULES
DISCUSSION
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 60: Applications of Longitudinal Research to Advance Organizational Theory
ABSTRACT
INTRODUCTION
LONGITUDINAL RESEARCH DESIGNS
DATA COLLECTIONS CONSIDERATIONS
DATA COLLECTION TECHNIQUES
DATA ANALYSIS
CONCLUSION
REFERENCES
ENDNOTES
Chapter 61: Link Prediction in Complex Networks
ABSTRACT
1. INTRODUCTION
2. PROBLEM DESCRIPTION AND NOTATIONS
3. EVALUATION
4. LINK PREDICTION APPROACHES
5. CHALLENGES IN LINK PREDICTION TASK
6. OUR WORK ON LINK PREDICTION
7. CONCLUSION
REFERENCES
ENDNOTES
Chapter 62: Feedback-Driven Refinement of Mandarin Speech Recognition Result Based on Lattice Modification and Rescoring
ABSTRACT
1. INTRODUCTION
2. INTERFACE FOR USER FEEDBACK
3. DYNAMIC UPDATING OF CANDIDATE LISTS
4. EXPERIMENTAL RESULTS
5. CONCLUSION
REFERENCES
Chapter 63: Data Mining for Multicriteria Single Facility Location Problems
ABSTRACT
INTRODUCTION
BACKGROUND
PCA-RANK
SVM-RANK
SOLUTIONS AND RECOMMENDATIONS
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 64: Enabling Rapid Classification of Social Media Communications During Crises
ABSTRACT
INTRODUCTION
REAL-TIME CLASSIFICATION APPROACH
PROBLEM FORMULATION AND CRISIS DATASETS
EXPERIMENTAL FRAMEWORK
ENHANCING PERFORMANCE OF BASELINE MODELS
RELATED WORK
CONCLUSION
REFERENCES
ENDNOTES
Chapter 65: Quantum-Behaved Particle Swarm Optimization Based Radial Basis Function Network for Classification of Clinical Datasets
ABSTRACT
INTRODUCTION
RELATED WORK
MATERIALS AND METHODS
SYSTEM FRAMEWORK
RESULTS AND DISCUSSIONS
CONCLUSION
REFERENCES
Chapter 66: Supervised Machine Learning for Plants Identification Based on Images of Their Leaves
ABSTRACT
1. INTRODUCTION
2. VIEW OF LITERATURE
3. USED DATASET
4. PROPOSED APPROACHES
5. RESULTS AND DISCUSSION
6. CONCLUSION
REFERENCES
Chapter 67: Empirical Evaluations of Interactive Systems in Cultural Heritage
ABSTRACT
1. INTRODUCTION
2. BACKGROUND AND RELATED WORK
3. METHOD
4. RESULTS
5. DISCUSSION, CRITIQUE, AND OUTLOOK
6. CONCLUSION
REFERENCES
ENDNOTES
Chapter 68: Generating Efficient Techniques for Information Extraction and Processing Using Cellular Automata
ABSTRACT
1. INTRODUCTION
2. FINITE AUTOMATA
3 CELLULAR AUTOMATA AND ITS EVOLUTION
4. CLASSIFICATION OF CELLULAR AUTOMATA
5. MAJOR REQUIREMENTS TO BE FULFILLED BY CELLULAR AUTOMATA
6. AN APPLICATION OF CELLULAR AOTOMATA IN INFORMTION FLOW
7. APPLICATION OF CELLULAR AUTOMARA IN TRAFFIC MODELLING
8 SELF-REPRODUCTION NATURE OF CELLULAR AUTOMATA AND ITS BIOLOGICAL CORRESPONDENCE
9 APPLICATION OF CELLULAR AUTOMATA IN ENGINEERING AND COMPLEX INDUSTRIAL SYSTEM
10 MACHINE LEARNING WITH CELLULAR AUTOMATA
11 CLASSIFICATIONAL CELLULAR AUTOMATA (CCA)
12 CONCLUSION
REFERENCES
Chapter 69: Real-Time Streaming Data Analysis Using a Three-Way Classification Method for Sentimental Analysis
ABSTRACT
1. INTRODUCTION
2. RELATED WORK
3. PROPOSED SYSTEM
4. EXPERIMENT AND RESULTS
5. CONCLUSION
REFERENCES
Chapter 70: Gene Selection from Microarray Data for Alzheimer's Disease Using Random Forest
ABSTRACT
INTRODUCTION
DATASET
METHODOLOGY
RESULTS AND DISCUSSION
CONCLUSION AND FUTURE WORK
ACKNOWLEDGMENT
REFERENCES
Section 5: Organizational and Social Implications
Chapter 71: Political Sentiment Mining
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. METHODOLOGY
4. EXPERIMENTS SET UP AND RESULT
5. DISCUSSION
6. BUSINESS IMPLICATION AND FUTURE WORK
7. CONCLUSION
REFERENCES
ENDNOTES
Chapter 72: Explore the Use of Handwriting Information and Machine Learning Techniques in Evaluating Mental Workload
ABSTRACT
INTRODUCTION
LITERATURE REVIEW
METHODOLOGY
CLASSIFIER EVALUATION
DISCUSSIONS
FUTURE WORK
ACKNOWLEDGMENT
REFERENCES
Chapter 73: Sentiment Predictions Using Deep Belief Networks Model for Odd-Even Policy in Delhi
ABSTRACT
1. INTRODUCTION
2. RELATED WORK
3. EXPERIMENTAL SET-UP
4. DATA EXTRACTION
5. AUTOMATIC LABELING OF TWEETS
6. PROPOSED SENTIMENT PREDICTION MODELS
7. MACHINE LEARNING APPROACH
8. EXPERIMENTAL RESULTS AND DISCUSSION
9. CONCLUSION
REFERENCES
ENDNOTES
Chapter 74: Inferring Intent and Action from Gaze in Naturalistic Behavior
ABSTRACT
INTRODUCTION
BACKGROUND
MATERIAL AND METHODS
RESULTS: INFERRING INTENT IN NATURAL ENVIRONMENTS
CONCLUSION AND FUTURE DIRECTIONS
ACKNOWLEDGMENT
REFERENCES
ENDNOTES
APPENDIX
Chapter 75: Subjective Text Mining for Arabic Social Media
ABSTRACT
1. INTRODUCTION
2. RELATED WORK
3. THE PROPOSED FRAMEWORK
4. EXPERIMENTATION AND EVALUATION
5. CONCLUSION AND FUTURE WORK
REFERENCES
Chapter 76: Machine Learning Approach for Multi-Layered Detection of Chemical Named Entities in Text
ABSTRACT
INTRODUCTION
MATERIAL AND METHODS
RESULTS AND DISCUSSION
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 77: Social Media in Accelerating Mobile Apps
ABSTRACT
INTRODUCTION
KEY CONCEPTS AND RELATED LITERATURE
RESEARCH METHOD AND DESIGN
RESULTS
DISCUSSION AND CONCLUSION
REFERENCES
Chapter 78: Blind Image Source Device Identification
ABSTRACT
INTRODUCTION
RELATED WORK
AN EFFICIENT SOURCE IDENTIFICATION APPROACH: MITIGATING CURRENT CHALLENGES
EXPERIMENTAL RESULTS
CONCLUSION
REFERENCES
Chapter 79: Mixed Methods Research
ABSTRACT
INTRODUCTION
PARADIGM WARS AND MMR
PURPOSES OF CONDUCTING MMR AND MMR DESIGNS
RESEARCH QUESTIONS IN MMR
CONCLUSION
REFERENCES
Chapter 80: A Novel Anti-Obfuscation Model for Detecting Malicious Code
ABSTRACT
1. INTRODUCTION
2. METHODOLOGY
3. EXPERIMENTAL DATA AND RESULTS ANALYSIS
4. RELATED WORK
5. SUMMARY
ACKNOWLEDGMENT
REFERENCES
Chapter 81: Machine Learning Methods as a Test Bed for EEG Analysis in BCI Paradigms
ABSTRACT
INTRODUCTION
METHODS
EXPERIMENT RESULTS
DISCUSSION
REFERENCES
Chapter 82: Detection of Drive-by Download Attacks Using Machine Learning Approach
ABSTRACT
INTRODUCTION
LITERATURE REVIEW
FEATURES SELECTION
PROPOSED APPROACH
EXPERIMENTS AND EVALUATION
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 83: Introduction to HR Research Using Statistics
ABSTRACT
INTRODUCTION
HR RESEARCH AND SCOPE OF STATISTICS IN HR
DATA ANALYSIS FOR HR
ETHICAL ISSUES IN HR RESEARCH
SUMMARY
Chapter 84: Data Accuracy Considerations with mHealth
ABSTRACT
INTRODUCTION
BACKGROUND
CONCEPTUAL MODEL
THE PROPOSED RESEARCH METHODOLOGY
ETHICS
LIMITATION
DISCUSSION AND CONCLUSION
REFERENCES
Section 6: Critical Issues and Challenges
Chapter 85: Investigation of Software Reliability Prediction Using Statistical and Machine Learning Methods
ABSTRACT
INTRODUCTION
METHODOLOGY
ANALYSIS RESULTS
SUMMARY
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 86: Research Strategy for Studying User's Acceptance of Tourism-Related ITs
ABSTRACT
INTRODUCTION
BACKGROUND
MAIN FOCUS OF THE CHAPTER
FUTURE RESEARCH DIRECTION
REFERENCES
ENDNOTES
Chapter 87: Unleashing Artificial Intelligence onto Big Data A Review
ABSTRACT
INTRODUCTION
BIG DATA: AN OVERVIEW
CONCLUSION
REFERENCES
Chapter 88: Analytical Study on Bug Triaging Practices
ABSTRACT
INTRODUCTION
DIMENSIONS OF THE SURVEY
DATA EXTRACTION
PRELIMINARY
SURVEY OF BUG ASSIGNMENT APPROACHES
CHALLENGES
ANALYTICAL RESULTS
CONCLUSION
REFERENCES
Chapter 89: Can Citizen Science Seriously Contribute to Policy Development?
ABSTRACT
INTRODUCTION
BACKGROUND
WHAT IS ‘EVIDENCE’
EVIDENCE BASED POLICY IN EUROPE
THE RELATIONSHIPS BETWEEN CITIZEN SCIENCE AND EVIDENCE-BASED POLICY DEVELOPMENT
INITIAL CONCERNS AND CHALLENGES
STAKEHOLDER ENGAGEMENT: THE BENEFITS OF GOOD ENGAGEMENT PRACTICES
MAKING DATA MORE AVAILABLE
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
Chapter 90: An Insight into State-of-the-Art Techniques for Big Data Classification
ABSTRACT
1. INTRODUCTION
2. BIG DATA CLASSIFICATION ISSUES AND CHALLENGES
3. RESEARCH METHODOLOGY
4. LITERATURE SURVEY
5. CONCLUSION AND FUTURE WORK
REFERENCES
Chapter 91: Mobile Sink with Mobile Agents
ABSTRACT
1. INTRODUCTION
2. MOBILITY ISSUES
3. RELATED WORKS
4. PROPOSED METHODOLOGY
5. CONCLUSION
REFERENCES
Chapter 92: Puzzling the Picture using Grounded Theory
ABSTRACT
INTRODUCTION
CHOOSING GROUNDED THEORY
THE HEART OF GROUNDED THEORY ANALYSIS
INITIAL PROCESSES IN GROUNDED THEORY
DEVELOPING THEORY THROUGH THE FINAL PHASES OF GROUNDED THEORY
WRITING UP AND EVALUATING FINDINGS
CONCLUSION
REFERENCES
Section 7: Emerging Trends
Chapter 93: Machine Learning Applications in Cancer Therapy Assessment and Implications on Clinical Practice
ABSTRACT
INTRODUCTION
BACKGROUND
COMPUTER-AIDED THERAGNOSIS
EXPERIMENTAL SETUP
RESULTS AND DISCUSSION
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 94: Customer Satisfaction through Technological Integration
ABSTRACT
INTRODUCTION
BACKGROUND
TECHNOLOGIES: COMMUNICATION AND CRM
CONCERNS AND CHALLENGES
SOLUTIONS AND RECOMMENDATIONS
CONCLUSION
REFERENCES
Chapter 95: ISOPM
ABSTRACT
1. INTRODUCTION
2. BACKGROUND
3. METHOD (GROUNDED THEORY)
4. ISOPM - FRAMEWORK FOR INFORMATION SYSTEMS OUTSOURCING PROJECT MANAGEMENT
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 96: Advancing Malware Classification With an Evolving Clustering Method
ABSTRACT
INTRODUCTION
RELATED WORK
PROPOSED APPROACH
RESULT AND DISCUSSION
CONCLUSION AND FUTURE WORK
REFERENCES
Chapter 97: Bug Handling in Service Sector Software
ABSTRACT
INTRODUCTION
BACKGROUND
MAIN FOCUS OF THE CHAPTER
SOLUTIONS AND RECOMMENDATIONS
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 98: Applying Machine Learning in Optical Music Recognition of Numbered Music Notation
ABSTRACT
INTRODUCTION
GROUNDTRUTH AND SCORE CHECKING OF DATASET
MACHINE LEARNING IN THE OMR SYSTEM
EVALUATION METRICS
EXPERIMENTS
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
ENDNOTE
Chapter 99: A Social Constructionist Model for Human-Machine Ecosystems
ABSTRACT
INTRODUCTION
CONTEXTUAL SETTING
LEARNING IN HYBRID ECOSYSTEMS
TO PROGRAM THE ROBOT
TO LEARN THE BEST PATH
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
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