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Data Mining: Concepts, Methodologies, Tools, and Applications

Book Description

Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editor-in-Chief
    2. Associate Editors
    3. Editorial Advisory Board
  5. Preface
  6. Section 1: Fundamental Concepts and Theories
    1. Chapter 1: A Study of XML Models for Data Mining
      1. ABSTRACT
      2. INTRODUCTION
      3. DATA MODELS FOR XML DOCUMENT MINING
      4. DATA MINING TASKS USING THE VARIOUS MODELS
      5. CURRENT ISSUES AND CHALLENGES IN MODELLING XML DOCUMENTS FOR MINING
      6. FUTURE MODELS OF XML DOCUMENTS AND THEIR OPPORTUNITIES
      7. CONCLUSION
    2. Chapter 2: Finding Persistent Strong Rules
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ASSOCIATION PLUS CLASSIFICATION: PERSISTENT STRONG RULES
      5. MINING THE ANES DATA
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. APPENDIX
    3. Chapter 3: Data Discovery Approaches for Vague Spatial Data
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. VAGUE QUERYING FOR SPATIAL DATA MINING
      5. ASSOCIATION RULES
      6. SPATIAL DATA MINING EXAMPLE
      7. CONCLUSION AND FUTURE DIRECTIONS
    4. Chapter 4: Active Learning and Mapping
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. ACTIVE LEARNING
      4. 3. THE METHODOLOGY
      5. 4. TEST CASES
      6. 5. RESULTS
      7. DISCUSSION
      8. CONCLUSION
    5. Chapter 5: An Optimal Categorization of Feature Selection Methods for Knowledge Discovery
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF FEATURE SELECTION APPROACHES
      4. FEATURE SELECTION ALGORITHMS
      5. RESULTS
      6. CONCLUSION
    6. Chapter 6: Parallel Computing for Mining Association Rules in Distributed P2P Networks
      1. ABSTRACT
      2. I. INTRODUCTION
      3. II. FORMAL SPECIFICATION AND DEFINITIONS FOR MINING ASSOCIATION RULES
      4. III. A RING P2P COMPUTING SYSTEM ARCHITECTURE
      5. IV. PARALLEL ASSOCIATION RULES MINING IN P2P COMPUTING SYSTEMS
      6. V. ANALYSIS AND EXAMPLE
      7. VI. PERFORMANCE AND COMPARISON
      8. VII. SUMMARY
    7. Chapter 7: Learning Different Concept Hierarchies and the Relations between them from Classified Data
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. APPROACH
      5. EXPERIMENTS
      6. CONCLUSION
    8. Chapter 8: Online Clustering and Outlier Detection
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. BACKGROUND
      4. 3. THE PROPOSED METHOD
      5. 4. FUTURE RESEARCH DIRECTIONS
      6. 5. CONCLUSION
    9. Chapter 9: Data Mining Techniques for Outlier Detection
      1. ABSTRACT
      2. INTRODUCTION
      3. RESEARCH ISSUES IN OUTLIER DETECTION
      4. CURRENT RESEARCH TRENDS
      5. EXPERIMENTAL RESULTS
      6. CONCLUSION AND FUTURE DIRECTIONS
    10. Chapter 10: An Extraction, Transformation, and Loading Tool Applied to a Fuzzy Data Mining System
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. PRELIMINARIES
      5. EXTENDING THE DMFSQL LANGUAGE FOR FUZZY ETL
      6. USING THE EXTENDED DMFSQL LANGUAGE IN AN ETL ARCHITECTURE APPLIED TO INTEGRATION OF QUESTIONNAIRES
      7. FUTURE RESEARCH DIRECTIONS
    11. Chapter 11: Analysis and Integration of Biological Data
      1. ABSTRACT
      2. INTRODUCTION
      3. NEW TRENDS
      4. BACKGROUND
      5. CLUSTERING VALIDATION FOR THE COMPARISON OF ALGORITHMS
      6. PIPELINE FOR INTEGRATION AND ANALYSIS OF INTROGRESSION LINES
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    12. Chapter 12: A Neuro-Fuzzy Partner Selection System for Business Social Networks
      1. ABSTRACT
      2. INTRODUCTION
      3. TRUST AND BSNS
      4. TRUST BUILDING VIA BSNS
      5. PARTNER SELECTION IN SMART ORGANIZATIONS
      6. NEURAL DATA MINING SYSTEM
      7. FUZZY EVALUATION OF PARTNERS
      8. CASE ILLUSTRATION
      9. FUTURE RESEARCH DIRECTIONS
      10. CONCLUSION
    13. Chapter 13: A Review of Kernel Methods Based Approaches to Classification and Clustering of Sequential Patterns, Part I
      1. ABSTRACT
      2. INTRODUCTION TO SEQUENTIAL PATTERN ANALYSIS USING KERNEL METHODS
      3. KERNEL METHODS FOR PATTERN ANALYSIS
      4. DESIGN OF DYNAMIC KERNELS FOR CONTINUOUS FEATURE VECTOR
      5. REVIEW OF KERNEL METHOD BASED APPROACHES TO CLASSIFICATION AND CLUSTERING OF CONTINUOUS FEATURE VECTOR SEQUENCES
      6. SUMMARY
    14. Chapter 14: Remarks on a Fuzzy Approach to Flexible Database Querying, Its Extension and Relation to Data Mining and Summarization
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. BIPOLAR QUERIES AS A NEXT STEP IN FUZZY QUERYING
      5. FUZZY QUERIES AND LINGUISTIC DATA SUMMARIES
      6. SOME FUTURE RESEARCH DIRECTIONS AND CONCLUSION
    15. Chapter 15: Measuring Human Intelligence by Applying Soft Computing Techniques
      1. ABSTRACT
      2. INTRODUCTION
      3. FUZZY LOGIC BASED SYSTEMS
      4. EVOLUTIONARY COMPUTING
      5. HYBRIDIZATION OF FUZZY AND GENETIC APPROACH
      6. APPROACHES AND ESTABLISHED MODELS
      7. RELATED WORK IN THE AREA OF GENETIC FUZZY SYSTEMS (GFS)
      8. SAMPLE CASE: PROPOSED MODEL USING GFS FOR ANALYZING HUMAN INTELLIGENCE
      9. OUTCOME AND RESULTS
      10. CONCLUSION AND FUTURE WORK
  7. Section 2: Development and Design Methodologies
    1. Chapter 16: Web Mining and Social Network Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. SOCIAL NETWORK ANALYSIS
      4. MINING TECHNIQUES
      5. COMBINED APPROACH
      6. APPLICATIONS
      7. FURTHER CHALLENGES
      8. CONCLUSION
    2. Chapter 17: Long-Term Evolution (LTE)
      1. ABSTRACT
      2. INTRODUCTION
      3. LTE BASIC AND CONCEPT
      4. LTE PHY LAYER
      5. LTE LINK LAYER
      6. MOBILITY SUPPORT
      7. INTER-NETWORKING SECURITY
      8. HENODEB SECURITY
      9. OPEN CHALLENGE
      10. CONCLUSION
    3. Chapter 18: Soft Computing and its Applications
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. NEURAL NETWORKS
      4. 3. FUZZY SETS AND FUZZY LOGIC
      5. 4. HEURISTIC SEARCH TECHNIQUES
      6. 5. ROUGH SET THEORY
      7. 6. APPLICATIONS OF SOFT COMPUTING
      8. 7. CONCLUSION
    4. Chapter 19: A Particle Filtering Based Approach for Gear Prognostics
      1. ABSTRACT
      2. INTRODUCTION
      3. THE APPROACH
      4. SPIRAL BEVEL GEAR CASE STUDY
      5. SUMMARY
    5. Chapter 20: Science and Water Policy Interface
      1. ABSTRACT
      2. INTRODUCTION
      3. THEORETICAL BACKGROUNDS
      4. THE SCIENCE AND POLICY INTERFACE: INTEGRATING SOCIO-TECHNICAL AND POLITICAL AND INSTITUTIONAL FRAMEWORKS
      5. EVOLVING THE IWRM PARIDIGM
      6. DISCUSSION
      7. CONCLUSION
    6. Chapter 21: On the MDBSCAN Algorithm in a Spatial Data Mining Context
      1. ABSTRACT
      2. INTRODUCTION
      3. SPATIAL DATA MINING
      4. SOME SPATIAL CLUSTERING ALGORITHM
      5. A CLUSTERING METHOD BASED ON THE NOTION OF DENSITY
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    7. Chapter 22: Intelligent Data Processing Based on Multi-Dimensional Numbered Memory Structures
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. MEMORY MANAGEMENT AND ACCESS METHODS
      4. 5. PROGRAM REALIZATION
      5. 6. CONCLUSION
      6. 7. FUTURE RESEARCH DIRECTIONS
    8. Chapter 23: Framework of Knowledge and Intelligence Base
      1. ABSTRACT
      2. INTRODUCTION FROM INTELLIGENCE TO SERVICE
      3. ACOS EVAL
      4. INTELLIGENCE
      5. DECISION SUPPORT
      6. NATURALISTIC DECISION MAKING (NDM)
      7. KNOWLEDGE MANAGEMENT AND ENTERPRISE ARCHITECTURE
      8. FUTURE RESEARCH DIRECTIONS: FUZZY CHAOS
      9. CONCLUSION
    9. Chapter 24: Using Association Rules for Query Reformulation
      1. ABSTRACT
      2. INTRODUCTION
      3. MAXIMAL ASSOCIATION RULES
      4. REFORMULATING A QUERY FOR A SEARCH ENGINE
      5. IDENTIFICATION OF MAXIMAL ASSOCIATION RULES IN SIMILARITY CLASSES
      6. EXPERIMENTS
      7. CONCLUSION
    10. Chapter 25: A Framework on Data Mining on Uncertain Data with Related Research Issues in Service Industry
      1. ABSTRACT
      2. INTRODUCTION
      3. PREVIOUS WORK
      4. CATEGORIZATION OF UNCERTAIN DATA
      5. FRAMEWORK
      6. PROBABILISTIC DISTANCE MEASURES
      7. MODIFICATION OF EXISTING DATA MINING ALGORITHMS
      8. OTHER RESEARCH ISSUES TO ADDRESS AND AN EXAMPLE APPLICATION ON SERVICE INDUSTRY
      9. CONCLUSION
    11. Chapter 26: A Subspace-Based Analysis Method for Anomaly Detection in Large and High-Dimensional Network Connection Data Streams
      1. ABSTRACT
      2. INTRODUCTION
      3. CONCLUSION AND FUTURE WORK
    12. Chapter 27: Suggested Model for Business Intelligence in Higher Education
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. SUGGESTED MODEL FOR BI IN HIGHER EDUCATION
      5. CASE STUDY FROM AIU
      6. RELATIONSHIP BETWEEN HIGH SCHOOL MARKS AND STUDENTS PERFORMANCE IN THE UNIVERSITY
      7. RELATION BETWEEN STUDENTS' PERFORMANCE IN ENGLISH PLACEMENT TEST AND STUDENTS' PERFORMANCE IN THE UNIVERSITY
      8. CASE STUDY FROM AIU
      9. CONCLUSION
    13. Chapter 28: A Highly Scalable and Adaptable Co-Learning Framework on Multimodal Data Mining in a Multimedia Database
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. HIGHLIGHTS OF THIS WORK
      5. CO-LEARNING FRAMEWORK
      6. ADAPTABILITY ANALYSIS
      7. EXPERIMENTAL EVALUATIONS
      8. CONCLUSION
    14. Chapter 29: Temporal Association Rule Mining in Large Databases
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. TEMPORAL DATA MINING
      5. TECHNIQUE USED FOR FINDING FREQUENT TEMPORAL ITEMSETS
      6. CONCLUSION
    15. Chapter 30: A Framework to Detect Disguised Missing Data
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. A FRAMEWORK TO DETECT DISGUISED MISSING DATA
      5. PROBLEMS WITH THE CURRENT FRAMEWORK
      6. SOLUTIONS AND RECOMMENDATIONS
      7. EXPERIMENTAL RESULTS
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
  8. Section 3: Tools and Technologies
    1. Chapter 31: XML Mining for Semantic Web
      1. ABSTRACT
      2. INTRODUCTION
      3. INCORPORATING BACKGROUND KNOWLEDGE TO DATA MINING PROCESSES
      4. THE SEMANTIC WEB SCENARIO
      5. TOWARDS A SEMANTICS-AWARE KNOWLEDGE DISCOVERY FRAMEWORK
      6. SEMANTICS-AWARE MINING OF COMPLEX DATA SOURCES
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    2. Chapter 32: Visual Data Mining in Physiotherapy Using Self-Organizing Maps
      1. ABSTRACT
      2. INTRODUCTION
      3. SELF-ORGANIZING MAPS
      4. ANALYZED PROBLEM
      5. RESULTS
      6. CONCLUSION
    3. Chapter 33: Mining Lifecycle Event Logs for Enhancing Service-Based Applications
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND AND RELATED WORK
      4. SOA LIFECYCLE EVENT LOGS
      5. LIFECYCLE EVENT LOG MINING
      6. EXPERIMENTATION
      7. CONCLUSION AND FUTURE WORK
    4. Chapter 34: Modeling, Querying, and Mining Uncertain XML Data
      1. ABSTRACT
      2. INTRODUCTION
      3. MODELS OF UNCERTAINTY
      4. PROBABILISTIC XML
      5. MINING INFORMATION FROM PROBABILISTIC XML
      6. CONCLUSION AND FUTURE RESEARCH
    5. Chapter 35: The Use of Prediction Reliability Estimates on Imbalanced Datasets
      1. ABSTRACT
      2. INTRODUCTION
      3. USING PREDICTION RELIABILITY ESTIMATES IN SMOTE
      4. FUTURE RESEARCH DIRECTIONS
      5. CONCLUSION
    6. Chapter 36: Database Analysis with ANNs by means of Graph Evolution
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ANN DEVELOPMENT WITH GRAPH EVOLUTION
      5. RESULTS
      6. CONCLUSION
      7. FUTURE TRENDS
    7. Chapter 37: Data Mining Techniques for Communities' Detection in Dynamic Social Networks
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. IDENTIFYING DENSE AND ISOLATED SUBGRAPHS IN A STATIC GRAPH
      5. MINING EVOLVING SUBGRAPHS
      6. EXPERIMENTATION
      7. CONCLUSION
    8. Chapter 38: Quantization based Sequence Generation and Subsequence Pruning for Data Mining Applications
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. NEED ASPECT
      5. OVERVIEW OF COMPRESSION SCHEMES
      6. PROPOSED METHODS
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    9. Chapter 39: Data Mining System Execution Traces to Validate Distributed System Quality-of-Service Properties
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MOTIVATIONAL CASE STUDY: THE QED PROJECT
      5. DATA MINING SYSTEM EXECUTION TRACES USING DATA FLOW MODELS
      6. EXPERIMENTAL RESULTS
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    10. Chapter 40: Mammogram Mining Using Genetic Ant-Miner
      1. ABSTRACT
      2. INTRODUCTION
      3. METHODS AND MATERIALS
      4. IMAGE PREPROCESSING
      5. FEATURE EXTRACTION
      6. DISCRETIZATION
      7. CLASSIFICATION OF MAMMOGRAMS
      8. COMPARATIVE STUDY
      9. GENETIC ANT-MINER
      10. GENETIC ALGORITHMS
      11. COMPUTATIONAL RESULTS
      12. COMPARATIVE STUDY
      13. CONCLUSION
      14. FURTHER RESEARCH DIRECTION
    11. Chapter 41: A Dynamic Privacy Manager for Compliance in Pervasive Computing
      1. ABSTRACT
      2. INTRODUCTION
      3. METHODOLOGY
      4. THEORETICAL FRAMEWORK
      5. SOLUTIONS AND RECCOMENDATIONS
      6. IMPLEMENTATION
      7. DISCUSSION
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
    12. Chapter 42: Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors
      1. ABSTRACT
      2. INTRODUCTION
      3. LITTERATURE REVIEW ON HETEROGENEOUS DATA TYPES MINING
      4. PROPOSED APPROACH: HETEREGENEOUS DATA MINING USING UNIFIED VECTORIZATION
      5. DATA MINING
      6. CONCLUSION
    13. Chapter 43: ANGEL Mining
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. DATA MINING ANGEL DATA
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. APPENDIX: ASSOCIATION MINING RULES
    14. Chapter 44: Frequent Pattern Discovery and Association Rule Mining of XML Data
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MINING FREQUENT PATTERNS AND ASSOCIATION RULES ON XML DATA
      5. STRUCTURE-BASED MINING ON XML DATA
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
  9. Section 4: Utilization and Application
    1. Chapter 45: Virtual Telemedicine and Virtual Telehealth
      1. ABSTRACT
      2. INTRODUCTION
      3. VIRTUAL TELEMEDICINE AND TELEHEALTH CARE SYSTEM
      4. RELATED WORK
      5. USED METHODOLOGY
      6. IMPLEMENTATION DETAILS
      7. RESULTS AND DISCUSSION
    2. Chapter 46: Machine Learning in Studying the Organism’s Functional State of Clinically Healthy Individuals Depending on Their Immune Reactivity
      1. ABSTRACT
      2. INTRODUCTION
      3. CONSTRUCTING INTERVAL STRUCTURES
      4. INFERRING LOGICAL RULES AFTER INTERVAL ANALYSIS OF A DATA SET
      5. CONCLUSION
    3. Chapter 47: Data Mining Used for Analyzing the Bankruptcy Risk of the Romanian SMEs
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. USING DATA MINING FOR ANALYZING THE BANKRUPTCY RISK OF THE ROMANIAN SMEs
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    4. Chapter 48: Applications of Pattern Discovery Using Sequential Data Mining
      1. ABSTRACT
      2. HEALTHCARE
      3. EDUCATION
      4. TEXT MINING
      5. BIOINFORMATICS
      6. TELECOMMUNICATIONS
      7. INTRUSION DETECTION
      8. OTHER APPLICATIONS
      9. CONCLUSION
    5. Chapter 49: A Comparative Study of Associative Classifiers in Mesenchymal Stem Cell Differentiation Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FIVE ASSOCIATIVE CLASSIFICATION APPROACHES
      5. DATA PREPARATION
      6. EXPERIMENTS
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    6. Chapter 50: Cloud-Based Intelligent DSS Design for Emergency Professionals
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. EMERGENCY PROBLEM SIGNIFICANCE
      5. COMPUTATIONAL INTELLIGENCE METHODS
      6. CLOUD COMPUTING APPLICATIONS
      7. DSS FOR DISASTER MANAGEMENT
      8. MAIN FOCUS OF THE CHAPTER
      9. DISCUSSION AND RECOMMENDATION
      10. FUTURE RESEARCH DIRECTIONS
      11. CONCLUSION
    7. Chapter 51: Extraction of Medical Pathways from Electronic Patient Records
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. EXTRACTION AND EVALUATION OF PREGNANCY MEDICAL PATHWAYS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    8. Chapter 52: Classification of Biological Sequences
      1. ABSTRACT
      2. INTRODUCTION
      3. INTRODUCTION TO BIOLOGICAL SEQUENCES AND DATABASES
      4. ESTIMATING FEATURE PROBABILITIES FROM FAMILY OF BIO-SEQUENCES
      5. RBNBC AND REBMEC CLASSIFIERS
      6. CONCLUSION
    9. Chapter 53: Automated Diagnostics of Coronary Artery Disease
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MATERIALS
      5. RESULTS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    10. Chapter 54: Modeling Interpretable Fuzzy Rule-Based Classifiers for Medical Decision Support
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. BUILDING INTERPRETABLE FUZZY MODELS FOR MEDICAL PROGNOSIS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    11. Chapter 55: Implications for Nursing Research and Generation of Evidence
      1. ABSTRACT
      2. RESEARCH TRENDS
      3. ICT INFRASTRUCTURE AND INFORMATICS PROCESSES
    12. Chapter 56: Content-Based Image Retrieval for Medical Image Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. CBIR TECHNIQUES
      4. CBIR IN MEDICAL IMAGING
      5. DISCUSSION AND FUTURE DIRECTIONS
    13. Chapter 57: Intelligent Decision Support System for Fetal Delivery using Soft Computing Techniques
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)
      6. FUTURE RESEARCH DIRECTION
      7. CONCLUSION
      8. APPENDIX: SIMULATION RESULTS
    14. Chapter 58: Systems Biology-Based Approaches Applied to Vaccine Development
      1. ABSTRACT
      2. INTRODUCTION
      3. REVERSE VACCINOLOGY AND BEYOND, ACCELERATING VACCINE DISCOVERY
      4. BIOINFORMATICS AND THE EMERGENT ROLE OF IMMUNOINFORMATICS
      5. VACCINOMICS: IMPROVING VACCINE DESIGN BY STUDYING HOST GENETIC VARIATION
      6. A PROMISING TREND: SYNTHETIC WHOLE ORGANISM VACCINES
      7. CONCLUSION
  10. Section 5: Organizational and Social Implications
    1. Chapter 59: From Data to Knowledge
      1. ABSTRACT
      2. INTRODUCTION
      3. DATA MINING TASKS
      4. DATABASE VS DATA MINING
      5. DATA MINING APPLICATIONS
    2. Chapter 60: Mass Media Strategies
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. UNDERSTANDING HYBRID APPROACHES
      4. 3. MARKET ANALYSIS BY MASS MEDIA
      5. 4. CASES OF STUDY
      6. 5. CROWFUNDING AS A DIFFERENT WAY TO OBTAIN FUNDS TO A PROJECT
      7. 6. APPLIED CROWDFUNDING A REAL PROJECT
      8. 7. EXPERIMENTS TO SUPPORT AN INDIE POP BAND
      9. 8. EXPERIMENTS RELATED WITH A WRESTLING CIRCUIT
      10. 9. CONCLUSION AND FUTURE RESEARCH
    3. Chapter 61: Data Mining, Validation, and Collaborative Knowledge Capture
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND: SONOCONSULT
      4. DATA MINING, VALIDATION, AND KNOWLEDGE REFINEMENT
      5. EXEMPLARY SONOCONSULT RESULTS
      6. COLLABORATIVE KNOWLEDGE CAPTURE AND REFINEMENT
      7. CONCLUSION
    4. Chapter 62: Enterprise Architecture for Personalization of e-Government Services
      1. ABSTRACT
      2. INTRODUCTION
      3. DEVELOPMENT OF EGG SERVICES IN TURKEY
      4. A SUGGESTION FOR KNOWLEDGE-BASED PERSONALIZED, CITIZEN-CENTRIC E-GOVERNMENT ENTERPRISE
      5. CONCLUSION
    5. Chapter 63: Knowledge Discovery from Online Communities
      1. ABSTRACT
      2. INTRODUCTION
      3. ONLINE COMMUNITIES
      4. SOCIAL NETWORK MODELS
      5. APPLICATIONS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    6. Chapter 64: Customer Decision Making in Web Services
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. DECISION MAKING IN WEB SERVICES
      5. P6: AN INTEGRATED MODEL FOR CDM IN WEB SERVICES
      6. THE EXISTING 6 Ps: DECISION MAKING ENVIRONMENT OF CUSTOMERS IN WEB SERVICES
      7. THE NEWLY INTRODUCED 6 Ps: INNER ACTIVITIES OF CUSTOMERS FOR DECISION MAKING IN WEB SERVICES
      8. INTERRELATIONSHIPS BETWEEN NEW 6 Ps AND EXISTING 6 Ps
      9. CASE BASED DECISION MAKING IN WEB SERVICES
      10. SOLUTIONS AND RECOMMENDATIONS
      11. FUTURE RESEARCH DIRECTIONS
      12. CONCLUSION
    7. Chapter 65: A Predictive Modeling of Retail Satisfaction
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. A SNAPSHOT ON INDIAN RETAIL INDUSTRY
      4. 3. APPLICATION OF DATA MINING IN RETAIL SECTOR
      5. 4. REVIEW OF SHOPPING SATISFACTION LITERATURE
      6. 5. RESEARCH DESIGN AND DATA ANALYSIS
      7. 6. CONCLUSION AND FUTURE AREAS OF RESEARCH
    8. Chapter 66: A Data Mining Service to Assist Instructors Involved in Virtual Education
      1. ABSTRACT
      2. INTRODUCTION
      3. MOTIVATION
      4. RELATED WORK
      5. ARCHITECTURE
      6. SERVICE FUNCTIONALITY
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    9. Chapter 67: User’s Behaviour inside a Digital Library
      1. ABSTRACT
      2. INTRODUCTION
      3. MATERIALS AND METHODS
      4. SESSION DETECTION
      5. USER’S BEHAVIOUR
      6. CONCLUSION
    10. Chapter 68: Behavioral Targeting Online Advertising
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. BEHAVIORIAL TARGETING
      5. EVALUATION METRICS
      6. EXPERIMENTS
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    11. Chapter 69: Mobile Purchase Decision Support Systems for In-Store Shopping Environments
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. RESEARCH MODEL
      5. METHOD
      6. DISCUSSION
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    12. Chapter 70: Structuring and Facilitating Online Learning through Learning/Course Management Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. COMMON FUNCTIONALITIES AND STRUCTURES
      5. FUTURE CONSIDERATIONS
      6. CONCLUSION
    13. Chapter 71: Conversation-Oriented Decision Support Systems for Organizations
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. STRUCTURING A CODSS: ORGANIZATIONAL DOMAINS AND DECISION PROCESSES
      5. UNIT DECISION PROCESSES
      6. THE COMPOUND DECISION PROCESS
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    14. Chapter 72: Text Mining for Analysis of Interviews and Questionnaires
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. TEXT MINING TECHNIQUE
      4. 3. MULTIPLE ANALYSIS BY TEXT MINING OF THE REMARKS OF ELDERLY AND DISABLED PEOPLE
      5. 4. CONCLUSION
    15. Chapter 73: Detecting Pharmaceutical Spam in Microblog Messages
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FUNDAMENTAL PROCESS AND TOOLS
      5. EXPERIMENTAL RESULTS
      6. CONCLUSION
  11. Section 6: Managerial Impact
    1. Chapter 74: Innovative Approaches for Efficiently Warehousing Complex Data from the Web
      1. ABSTRACT
      2. INTRODUCTION
      3. GENERAL LITERATURE REVIEW
      4. XML DATA WAREHOUSING
      5. COMBINING OLAP AND DATA MINING FOR COMPLEX DATA ANALYSIS
      6. ANALYSIS PERSONALIZATION IN COMPLEX DATA WAREHOUSES
      7. CONCLUSION
      8. FUTURE RESEARCH ISSUES
    2. Chapter 75: A Three-Level Multiple-Agent Early Warning Mechanism for Preventing Loss of Customers in Fashion Supply Chains
      1. ABSTRACT
      2. INTRODUCTION
      3. IT SOLUTIONS FOR PROBLEM OF SUPPLY CHAIN MANAGEMENT
      4. AGENTS SYSTEM IN SUPPLY CHAIN MANAGEMENT
      5. MAIN FOCUS OF THE ARTICLE
      6. IMPACT AND FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    3. Chapter 76: Clinical Decision Support Systems for ‘Making It Easy to Do It Right’
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. DECISION SUPPORT IN DAILY PRACTICE
      5. FUTURE EXPECTATIONS
      6. CONCLUSION
    4. Chapter 77: Data Mining and Explorative Multivariate Data Analysis for Customer Satisfaction Study
      1. ABSTRACT
      2. INTRODUCTION
      3. ORDERED MULTIPLE CORRESPONDENCE ANALYSIS TO STUDY CS VARIABLE INTERRELATIONSHIPS
      4. BOOSTING REGRESSION TECHNIQUES
      5. LINEAR AND NON-LINEAR PLS
      6. DISCRIMINANT PARTIAL LEAST SQUARES REGRESSION MODELS AND SOME EXTENSIONS TOWARDS MULTIVARIATE ADDITIVE MODELS
      7. CONCLUSION
      8. APPENDIX
    5. Chapter 78: A Decision Support System for Privacy Compliance
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. HP PRIVACY ADVISOR
      5. KNOWLEDGE REPRESENTATION AND INFERENCE
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    6. Chapter 79: Supporting Companies Management and Improving their Productivity through Mining Customers Transactions
      1. ABSTRACT
      2. INTRODUCTION
      3. KNOWLEDGE DISCOVERY PROCESS
      4. DATA MINING
      5. CLUSTERING AND CLASSIFICATION DURING THE DESIGN PHASE
      6. EXPERIMENTAL WORK
      7. METHOD EVALUATION
      8. SUMMARY AND FUTURE WORK
    7. Chapter 80: A Hybrid Multilayer Perceptron Neural Network for Direct Marketing
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. DATASET USED
      5. COMPARATIVE CROSS VALIDATION
      6. HYBRID MODEL FOR DIRECT MARKETING
      7. PROCEDURES OF HYBRID MODELING USING BAGGING CLASSIFIERS
      8. EXISTING MULTI LAYER PERCEPTRON (EMLP)
      9. PROPOSED MULTI LAYER PERCEPTRON (PMLP)
      10. RESULTS AND DISCUSSION
      11. CONCLUSION
    8. Chapter 81: Developing a Competitive City through Healthy Decision-Making
      1. ABSTRACT
      2. BACKGROUND
      3. COMPETITIVE CITIES IN THE CONTEXT OF HEALTH
      4. E-HEALTH DECISION SUPPORT SYSTEMS AND COLLABORATIVE HEALTH PLANNING PRACTICE
      5. A CONCEPTUAL FRAMEWORK FOR PLANNING HEALTHY AND COMPETITIVE CITIES
      6. PARTICIPATORY ACTION RESEARCH: A METHOD FOR IMPLEMENTING COLLABORATIVE HEALTH PLANNING
      7. CHALLENGES FOR AN E-HEALTH APPROACH TO DECISION-MAKING
      8. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
    9. Chapter 82: Financial Early Warning System for Risk Detection and Prevention from Financial Crisis
      1. ABSTRACT
      2. INTRODUCTION
      3. SMEs AND FINANCIAL ISSUES
      4. THE IMPACT OF FINANCIAL CRISIS ON SMEs
      5. A SOLUTION FOR SMEs: EARLY WARNING SYSTEM
      6. DATA MINING MODEL AND AN IMPLEMENTATION FOR EARLY WARNING SYSTEM
      7. CONCLUSION
    10. Chapter 83: Role of Data Mining and Knowledge Discovery in Managing Telecommunication Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. MAJOR DATA MINING APPLICATIONS IN TELECOMMUNICATION
      4. TYPES OF TELECOMMUNICATION DATA
      5. SUMMARY AND CONCLUSION
    11. Chapter 84: Data Mining Applications in the Electrical Industry
      1. ABSTRACT
      2. INTRODUCTION
      3. PARTIAL DISCHARGE: CONCEPTS
      4. DIAGNOSIS ON POWER CABLES: OVERVIEW USING DATA MINING TOOLS
      5. SELF ORGANIZING MAPS (SOM) AND HIERARCHICAL CLUSTERING
      6. ANALYSIS OF PD DATA
      7. CONCLUSION AND FUTURE WORKS
    12. Chapter 85: Mining Climate and Remote Sensing Time Series to Improve Monitoring of Sugar Cane Fields
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ANALYZING CLIMATE AND REMOTE SENSING DATA THROUGH DATA MINING TECHNIQUES
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    13. Chapter 86: Discovering Patterns in Order to Detect Weak Signals and Define New Strategies
      1. ABSTRACT
      2. INTRODUCTION
      3. KNOWLEDGE EXTRACTION PROCESS IN CI
      4. CONSTRUCTION OF THE CORPUS OF DATA
      5. PROCESSING OF DATA STRUCTURE
      6. DATA CROSSBREEDING
      7. EXTRACTION OF STRATEGIC INFORMATION AND THE DISCOVERY OF PATTERNS BY THE CORRESPONDENCE ANALYSIS (CA)
      8. THE PATTERNS OF WEAK SIGNALS
      9. SORT METHOD FOR EXTRACTING WEAK SIGNALS
      10. TEMPORAL PLACEMENT ALGORITHM
      11. CONCLUSION
    14. Chapter 87: Data Mining and Economic Crime Risk Management
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. APPLICATION OF DATA MINING FOR ECONOMIC CRIME RISK MANAGEMENT
      5. SOLUTIONS AND RECOMMENDATIONS ACADEMIC RESEARCH
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
  12. Section 7: Critical Issues
    1. Chapter 88: Sociocognitive Inquiry
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. PERSONAL CONSTRUCT PSYCHOLOGY
      5. CONCEPTUAL GRIDS
      6. WEBGRID IN ACTION
      7. PAYBACKS TO INDIVIDUALS AND THE COMMUNITY
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
      10. APPENDIX: ADDITIONAL READING
    2. Chapter 89: Coastal Atlas Interoperability
      1. ABSTRACT
      2. INTRODUCTION
      3. INTEROPERABILITY: WHY IT MATTERS
      4. LEVELS OF INTEROPERABILITY
      5. STANDARDS
      6. OPEN GEOSPATIAL SERVICES
      7. CONTROLLED VOCABULARIES AND ONTOLOGIES
      8. THE ICAN INTEROPERABILITY APPROACH
      9. CONCLUSION
    3. Chapter 90: Association Rule Mining in Developmental Psychology
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. METHODOLOGY
    4. Chapter 91: Legal Issues in E-Healthcare Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. PRIVACY PROTECTION IN E-HEALTHCARE SYSTEM
      4. CONCLUSION
    5. Chapter 92: Privacy Expectations in Passive RFID Tagging of Motor Vehicles
      1. ABSTRACT
      2. I. INTRODUCTION
      3. II. BACKGROUND ON THE LTO IT PROJECT AND THE PASSIVE RFID TAGGING OF MOTOR VEHICLES
      4. III. THE PRIVACY CHALLENGE IN BAYAN MUNA ET AL. VS. MENDOZA ET AL. TO PASSIVE RFID TAGGING OF MOTOR VEHICLES
      5. IV. CONCLUSION
    6. Chapter 93: Evaluation Challenges for Computer-Aided Diagnostic Characterization
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. EVALUATION METHODOLOGY FOR COMPUTER-AIDED DECISION SUPPORT
      5. MATERIALS AND METHODS
      6. RESULTS AND DISCUSSION
      7. CONCLUSION
    7. Chapter 94: Assessing Data Mining Approaches for Analyzing Actuarial Student Success Rate
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ANALYSIS OF ACTUARIAL SUCCESS RATE
      5. RESULTS
      6. CONCLUSION AND FUTURE RESEARCH
    8. Chapter 95: Approaches for Pattern Discovery Using Sequential Data Mining
      1. ABSTRACT
      2. INTRODUCTION
      3. OTHER SEQUENTIAL PATTERN MINING METHODS
      4. CONCLUSION
    9. Chapter 96: Human-Centred Web Search
      1. ABSTRACT
      2. INTRODUCTION
      3. SEARCHER BEHAVIOUR
      4. SUPPORTING SEARCHER NEEDS
      5. EVALUATING NOVEL WEB SEARCH INTERFACES
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    10. Chapter 97: A Perspective on Data Mining Integration with Business Intelligence
      1. ABSTRACT
      2. INTRODUCTION
      3. A FRAMEWORK FOR BUSINESS INTELLIGENCE
      4. DATA MINING AND KNOWLEDGE DISCOVERY IN DATABASES
      5. DM INTEGRATION WITH RELATIONAL DATABASES
      6. INTEGRATING DATA MINING WITH BUSINESS INTELLIGENCE
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    11. Chapter 98: Gridifying Neuroscientific Pipelines
      1. ABSTRACT
      2. INTRODUCTION
      3. RATIONALE
      4. PIPELINE REQUIREMENTS ANALYSIS
      5. PIPELINE GRIDIFICATION
      6. CONCLUSION AND FUTURE WORK
    12. Chapter 99: Challenges to Use Recommender Systems to Enhance Meta-Cognitive Functioning in Online Learners
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. CHALLENGES TO MAKE RECOMMENDATIONS FOR META-COGNITIVE ONLINE ACTIVITIES
      5. USE OF DATA MINING TECHNIQUES IN RECOMMENDER SYSTEMS
      6. A TOY EXAMPLE FOR LEARNING STRATEGY RECOMMENDATIONS
      7. CONCLUSION
      8. FUTURE RESEARCH DIRECTIONS
    13. Chapter 100: Cooperation between Expert Knowledge and Data Mining Discovered Knowledge
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. CONCLUSION
    14. Chapter 101: Research Challenge of Locally Computed Ubiquitous Data Mining1
      1. ABSTRACT
      2. INTRODUCTION
      3. ISSUES, CONTROVERSIES AND PROBLEMS OF UBIQUITOUS DATA MINING
      4. RELATED APPLICATIONS
      5. AUTONOMOUS MINING ON MOBILE DEVICES
      6. ANALYSIS OF EXISTING APPROACHES
      7. FUTURE RESEARCH CHALLENGES
      8. CONCLUSION
    15. Chapter 102: Tailoring FOS-ERP Packages
      1. ABSTRACT
      2. INTRODUCTION
      3. RESEARCH QUESTIONS AND DESIGN
      4. ERP5: THE UNDERLYING FOS-ERP PACKAGE
      5. ERP PACKAGE TAILORING
      6. AUTOMATION PROCEDURE AND APPROACHES
      7. IMPLEMENTATION OF THE ERP5 AI TOOLKIT
      8. PERSPECTIVE: REFLEXIVE TAILORING
      9. CONCLUSION
  13. Section 8: Emerging Trends
    1. Chapter 103: Optimization of a Hybrid Methodology (CRISP-DM)
      1. ABSTRACT
      2. 1. BRIEF HISTORY
      3. 2. CRISP-DM METHODOLOGY
      4. 4. DATA ACCESS STANDARDS
      5. 5. MODEL GENERATION STANDARDS
      6. 6. MODEL REPRESENTATION STANDARDS
      7. 7. CONCLUSION
    2. Chapter 104: A State-of-the-Art in Spatio-Temporal Data Warehousing, OLAP and Mining
      1. ABSTRACT
      2. INTRODUCTION
      3. A SHORT BACKGROUND IN GIS AND OLAP
      4. SPATIAL DATA WAREHOUSING AND OLAP
      5. MOVING OBJECTS AND TRAJECTORY DATA
      6. A TAXONOMY FOR SPATIO-TEMPORAL DATA WAREHOUSING AND OLAP
      7. THE GEOPKDD APPROACH FOR TRAJECTORY DATA WAREHOUSING
      8. THE PIET FRAMEWORK
      9. QUERYING AND MINING TRAJECTORY DATA
      10. HERMES AND PIET: SIMILARITIES AND DIFFERENCES
      11. FUTURE DIRECTIONS IN SPATIO-TEMPORAL OLAP
    3. Chapter 105: Pattern Mining for Outbreak Discovery Preparedness
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FREQUENT- OUTLIER MODEL
      5. EXPERIMENTAL RESULTS AND INTERPRETATION
    4. Chapter 106: From Non-Invasive Hemodynamic Measurements towards Patient-Specific Cardiovascular Diagnosis
      1. ABSTRACT
      2. INTRODUCTION
      3. RESULTS AND PROBLEMS OF THE PARAMETER ESTIMATION
      4. FUTURE CHALLENGES
      5. CONCLUSION AND OUTLOOK
    5. Chapter 107: Towards Spatial Decision Support System for Animals Traceability
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. THE PROPOSED ARCHITECTURE
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    6. Chapter 108: Space-Time Analytics for Spatial Dynamics
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SPACE-TIME ANALYTICS: FROM OBSERVABLES TO DRIVERS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    7. Chapter 109: Metaheuristic Optimization in Seismic Structural Design and Inspection Scheduling of Buildings
      1. ABSTRACT
      2. INTRODUCTION
      3. LIFE-CYCLE COST ASSESSMENT OF OPTIMALLY DESIGNED REINFORCED CONCRETE BUILDINGS UNDER SEISMIC ACTIONS
      4. METAHEURISTIC OPTIMIZATION FOR THE INSPECTION SCHEDULING OF BUILDINGS
      5. STEP 1: OPTIMUM ASSIGNMENT PROBLEM
      6. STEP 2: INSPECTION PRIORITIZATION PROBLEM
      7. PARTICLE SWARM OPTIMIZATION ALGORITHM
      8. ANT COLONY OPTIMIZATION
      9. CASE STUDY
      10. CONCLUSION
    8. Chapter 110: An Approach for Land-Use Suitability Assessment Using Decision Support Systems, AHP and GIS
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MULTI-CRITERIA EVALUATION METHODS (MCE) OR MULTI-CRITERIA DECISION MAKING (MCDM) AND AHP
      5. MAIN FOCUS OF THE CHAPTER
      6. CONCLUSION
    9. Chapter 111: Remote Fault Diagnosis System for Marine Power Machinery System
      1. ABSTRACT
      2. INTRODUCTION
      3. DESCRIPTION OF THE KNOWLEDGE-BASED REMOTE DIAGNOSTIC SYSTEM
      4. CASE STUDY: GEAR PUMP DAMAGE DETECTION AND DIAGNOSIS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    10. Chapter 112: Data Mining in the Investigation of Money Laundering and Terrorist Financing
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. DATA MINING PROCESS
      5. SOLUTION
      6. CONCLUSION
    11. Chapter 113: A Hybrid Approach Based on Self-Organizing Neural Networks and the K-Nearest Neighbors Method to Study Molecular Similarity
      1. ABSTRACT
      2. INTRODUCTION
      3. SIMILARITY
      4. METHODOLOGICAL APPROACH
      5. RESULTS AND DISCUSSION
      6. CONCLUSION AND FUTURE WORKS
    12. Chapter 114: Social Aid Fraud Detection System and Poverty Map Model Suggestion Based on Data Mining for Social Risk Mitigation
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SOCIAL AID FRAUD DETECTION SYSTEM FOR SOCIAL RISK MITIGATION
      5. METHODS
      6. CONCLUSION
    13. Chapter 115: Designing an Early Warning System for Stock Market Crashes by Using ANFIS
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MATERIAL AND METHODS
      5. BENCHMARKING DATA MINING METHODS
      6. RESULTS
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    14. Chapter 116: Advances of the Location Based Context-Aware Mobile Services in the Transport Sector
      1. ABSTRACT
      2. INTRODUCTION
      3. STATE OF THE ART OF LOCATION-BASED SERVICES IN TRANSPORT
      4. A REFERENCE MODEL
      5. TRANSPORT APPLICATIONS: THE VEHICLE AS A CONTEXT-AWARE SYSTEM
      6. CHALLENGES FACED
      7. CONCLUSION