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Data Mining: Technologies, Techniques, Tools, and Trends
"Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges."--BOOK JACKET. "Is there a need for mining? Do you have the right tools? Do you have the people to do...
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Boca Raton
CRC Press
1999
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Table of Contents:
- What is Data Mining?
- Data Mining Technologies
- Concepts and Techniques in Data Mining
- Directions and Trends in Data Mining
- Technologies for Data Mining
- Database Systems
- Data Models
- Relational Data Model
- Entity-Relationship Data Model
- Object-Oriented Data Model
- Object Relational Data Model
- Logic-Based Data Model
- Architectural Issues
- Database Design
- Database Administration
- Database Management System Functions
- Query Processing
- Transaction Management
- Storage Management
- Metadata Management
- Database Integrity
- Database Security
- Fault Tolerance
- Database Systems and Mining
- Architectural, Modeling, Design and Administration Aspects
- Data Mining and Database Functions
- Data Warehousing
- Technologies for Data Warehousing
- Developing the Data Warehouse
- Data Warehousing and Data Mining
- Some Other Technologies for Data Mining
- Statistical Reasoning
- Machine Learning
- Visualization
- Parallel Processing
- Decision Support
- Architectural Support for Data Mining
- Integration with Other Technologies
- Functional Architecture
- System Architecture
- Client-Server Technology
- Relationship to Mining
- Techniques and Tools for Data Mining
- The Process of Data Mining
- Steps to Data Mining
- Challenges
- User Interface Aspects
- Data Mining Outcomes, Approaches, and Techniques
- Outcomes of Data Mining
- Approaches to Data Mining
- Data Mining Techniques and Algorithms
- Logic Programming as a Data Mining Technique.