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Innovative Approaches of Data Visualization and Visual Analytics

Book Description

Due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively comprehend and analyze network topologies and information systems. Innovative Approaches of Data Visualization and Visual Analytics evaluates the latest trends and developments in force-based data visualization techniques, addressing issues in the design, development, evaluation, and application of algorithms and network topologies. This book will assist professionals and researchers working in the fields of data analysis and information science, as well as students in computer science and computer engineering, in developing increasingly effective methods of knowledge creation, management, and preservation.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Editorial Advisory Board and List of Reviewers
    1. List of Reviewers
  6. Preface
  7. Chapter 1: Aesthetics in Data Visualization
    1. ABSTRACT
    2. INTRODUCTION: DATA VISUALIZATION DESIGN
    3. CURRENT TOOLS AND PROBLEMS IN AESTHETICS OF DATA VISUALIZATION
    4. CASE STUDIES OF AESTHETICS IN DATA VISUALIZATION
    5. CONCLUSION
  8. Chapter 2: A Visual Analytics Approach for Correlation, Classification, and Regression Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. CARS DATA SET
    5. VISUAL DATA MINING AND ANALYSIS TECHNIQUES
    6. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
  9. Chapter 3: Understanding Spatial and Non-spatial Cues in Representing Categorical Information
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. ENCODING VISUAL PARAMETERS
    5. EXPERIMENTS
    6. RESULT
    7. DISCUSSION
    8. CONCLUSION
  10. Chapter 4: Feature-Based Uncertainty Visualization
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BACKGROUND
    4. 3. AN INTERACTIVE FEATURE-BASED VISUALIZATION OF SCALAR FIELD UNCERTAINTY
    5. 4. A FEATURE-BASED FRAMEWORK FOR VISUALIZING VECTOR FIELD UNCERTAINTY
    6. 5. CONCLUSION
  11. Chapter 5: Cognitive Processes and Traits Related to Graphic Comprehension
    1. ABSTRACT
    2. INTRODUCTION
    3. THEORIES OF COGNITION RELATED TO GRAPHIC COMPREHENSION
    4. INDIVIDUAL TRAITS THAT INTERACT WITH GRAPHIC COMPREHENSION
    5. CONCLUSION
  12. Chapter 6: Virtual Reality Technologies (Visual, Haptics, and Audio) in Large Datasets Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. POTENTIAL OF VR TECHNOLOGIES FOR ANALYSIS OF LARGE DATASETS
    4. ROLE OF EACH MODALITY IN A MULTIMODAL ANALYSIS PROCESS
    5. HOW CAN HAPTICS CONTRIBUTE TO EFFECTIVE ANALYSIS OF SCIENTIFIC DATASETS
    6. VISUAL, AUDITORY, AND HAPTIC MODALITIES IN INTERACTION WITH SCIENTIFIC DATASETS
    7. DISCUSSION
    8. CONCLUSION
  13. Chapter 7: The Importance of Visualization and Interaction in the Anomaly Detection Process
    1. ABSTRACT
    2. INTRODUCTION
    3. THE ROLE OF VISUALIZATION AND INTERACTION IN DATA MINING
    4. THE ROLE OF VISUALIZATION AND INTERACTION IN ANOMALY DETECTION
    5. ANOMALY DETECTION METHODS FOR MARITIME TRAFFIC
    6. HOW DO EXPERTS MONITOR MARITIME TRAFFIC?
    7. USING VISUALIZATION AND INTERACTION IN ANOMALY DETECTION
    8. EXAMPLES
    9. CONCLUSION
  14. Chapter 8: Understanding Collections and Their Implicit Structures through Information Visualization
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DISCOVERING IMPLICIT STRUCTURES FOR UNDERSTANDING COLLECTIONS
    5. VISUALIZATION APPROACHES FOR COLLECTION UNDERSTANDING
    6. ONGOING WORK AND FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  15. Chapter 9: Highlighting in Visual Data Analytics
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. THE CONTEMPORARY DEFINITION OF HIGHLIGHTING
    4. 3. THE CONCEPTUAL MODEL OF HIGHLIGHTING
    5. 4. THE ELEMENTS OF HIGHLIGHTING
    6. 5. THE CLASSIFICATION OF HIGHLIGHTING
    7. 6. CONCLUSION
  16. Chapter 10: The Quest for Clarity
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. THE QUEST FOR CLARITY AND USER-FRIENDLINESS IN CONTRACTS
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
  17. Chapter 11: Articulate
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. THE APPROACH
    5. EVALUATION
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  18. Chapter 12: Visualization of Human Behavior Data
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. WHAT IS THE QUANTIFIED SELF?
    4. 3. ROOTS OF QUANTIFIED SELF MOVEMENT
    5. 4. QUANTIFIED SELF PROMISES
    6. 5. CURRENT APPLICATION FIELD OF QUANTIFIED SELF
    7. 6. QUANTIFIED SELF FUNDAMENTAL PROBLEMS
    8. 7. TOWARD A MORE ROBUST APPROACH IN QUANTIFIED SELF
    9. 8. FUTURE RESEARCH DIRECTIONS
    10. 9. CONCLUSION
  19. Chapter 13: From Data-Centered to Activity-Centered Geospatial Visualizations
    1. ABSTRACT
    2. INTRODUCTION
    3. COMPONENTS OF MAP APPLICATION PROGRAMMING INTERFACES
    4. OVERVIEW OF POPULAR GEOSPATIAL VISUALIZATIONS
    5. TASKS, ACTIVITIES, AND INTERACTIONS
    6. AN EXAMPLE OF A HUMAN ACTIVITY
    7. ACTIVITY-CENTERED DESIGN CONSIDERATIONS
    8. CONCLUSION
  20. Chapter 14: An Information Visualization-Based Approach for Exploring Databases
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BACKGROUND
    4. 3. PROPOSED SOLUTION
    5. 4. FUTURE RESEARCH DIRECTIONS
    6. 5. CONCLUSION
  21. Chapter 15: Visualizing Information-Triage
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND MOTIVATIONS
    4. MISE EN PLACE: AN ONLINE SEARCH INTERFACE PROTOTYPE
    5. CONCLUSION
    6. FUTURE RESEARCH DIRECTIONS
  22. Chapter 16: A Framework for Developing Diagram Applications
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BACKGROUND
    4. 3. A MODEL FOR DIAGRAMS
    5. 4. TWO CASE STUDIES
    6. 5. FUTURE WORK
  23. Chapter 17: Community Management Matters
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BACKGROUND
    4. 3. DOMAIN ANALYSIS
    5. 4. DESIGN REQUIREMENTS
    6. 5. DESIGN WORKSHOPS
    7. 6. DESIGN OF PETRI
    8. 7. EVALUATION
    9. 8. LIMITATIONS
    10. 9. FUTURE RESEARCH DIRECTIONS
    11. 10. CONCLUSION
  24. Chapter 18: A Programmer-Centric and Task-Optimized Object Graph Visualizer for Debuggers
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DEBUGGING TASK DETAILS
    5. PROGRAMMER CENTRIC DESIGN
    6. INTERACTIVE OBJECT GRAPH VISUALIZER
    7. EVALUATION RESULTS
    8. SUMMARY AND CONCLUSIONS
  25. Compilation of References
  26. About the Contributors