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Integrations of Data Warehousing, Data Mining and Database Technologies

Book Description

Integrations of Data Warehousing, Data Mining and Database Technologies: Innovative Approaches provides a comprehensive compilation of knowledge covering state-of-the-art developments and research, as well as current innovative activities in data warehousing and mining. This book focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real world problems and provides a broad perspective on the future of these two cohesive topic areas.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
    1. INTRODUCTION
    2. DATA WAREHOUSING: AN OVERVIEW
    3. TEMPORAL SUPPORT IN DATA WAREHOUSE
    4. SPATIAL SUPPORT IN DATA WAREHOUSE
    5. MATERIALIZED VIEW
    6. CONCLUSION
  5. Section 1:
    1. Chapter 1: Temporal Data Warehousing
      1. ABSTRACT
      2. INTRODUCTION
      3. TEMPORAL DATABASES
      4. HANDLING CHANGES IN THE DATA WAREHOUSE
      5. HANDLING DATA CHANGES IN THE DATA MART
      6. HANDLING SCHEMA CHANGES IN THE DATA MART
      7. QUERYING TEMPORAL DATA
      8. DESIGNING TEMPORAL DATA WAREHOUSES
      9. OPEN ISSUES AND CONCLUSIONS
    2. Chapter 2: Summarizing Datacubes
      1. ABSTRACT
      2. INTRODUCTION
      3. MATHEMATICAL FOUNDATION: THE CUBE LATTICE FRAMEWORK
      4. SEMANTIC REDUCTION APPROACHES
      5. SYNTACTIC REDUCTION APPROACH: THE RELATIONAL PARTITION CUBE
      6. EVALUATIONS
      7. CONCLUSION
  6. Section 2:
    1. Chapter 5: Multidimensional Design Methods for Data Warehousing
      1. ABSTRACT
      2. INTRODUCTION
      3. A COMPREHENSIVE SURVEY
      4. COMPARISON CRITERIA
      5. CONCLUSION
    2. Chapter 6: On Handling the Evolution of External Data Sources in a Data Warehouse Architecture
      1. ABSTRACT
      2. INTRODUCTION
      3. MOTIVATING EXAMPLES
      4. CONCEPT OF MULTIVERSION DATA WAREHOUSE
      5. QUERYING MULTIVERSION DATA WAREHOUSE
      6. EVOLVING ETL LAYER
      7. INDEXING MULTIVERSION DATA
      8. SUMMARY
  7. Section 3:
    1. Chapter 9: A State-ofA-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
  8. Section 4:
    1. Chapter 11: Primary and Referential Horizontal Partitioning Selection Problems
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND AND RELATED WORK
      4. FRAGMENTATION METHODOLOGY
      5. HARDNESS STUDY
      6. PROPOSED SELECTION ALGORITHMS
      7. HORIZONTAL PARTITIONING ADVISOR
      8. EXPERIMENTAL STUDIES
      9. CONCLUSION & PERSPECTIVES
    2. Chapter 12: What-If Application Design Using UML
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORKS AND TOOLS
      4. METHODOLOGICAL FRAMEWORK
      5. A WISH LIST FOR SIMULATION
      6. EXPRESSING SIMULATION MODELS IN UML 2
      7. A CASE STUDY
      8. CONCLUSION
    3. Chapter 13: A Dynamic and Semantically-Aware Technique for Document Clustering in Biomedical Literature
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. SEMANTIC SMOOTHING OF DOCUMENT MODELS
      5. DYNGCS
      6. EXPERIMENTS
      7. CONCLUSION
    4. Chapter 14: Reliability Estimates for Regression Predictions
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. RELATED WORK
      4. 3. RELIABILITY ESTIMATES
      5. 4. PERFORMANCE OF RELIABILITY ESTIMATES
      6. 5. DEPENDENCE OF RELIABILITY ESTIMATES’ PERFORMANCE ON MODEL AND DOMAIN PROPERTIES
      7. 6. CONCLUSION AND FURTHER WORK
  9. Compilation of References
  10. About the Contributors