TAILIEUCHUNG - Lecture Business management information system - Lecture 26: Data mining

Lecture Business management information system - Lecture 26: Data mining. In this chapter, the following content will be discussed: What is data mining? Why data mining? What applications? What techniques? What process? What software? | Data Mining Lecture 26 * 07/16/96 * ## Today’s Lecture What is data mining? Why data mining? What applications? What techniques? What process? What software? * 07/16/96 * ## Definition Data mining may be defined as follows: data mining is a collection of techniques for efficient automated discovery of previously unknown, valid, novel, useful and understandable patterns in large databases. The patterns must be actionable so they may be used in an enterprise’s decision making. What is Data Mining? Efficient automated discovery of previously unknown patterns in large volumes of data. Patterns must be valid, novel, useful and understandable. Businesses are mostly interested in discovering past patterns to predict future behaviour. A data warehouse, as discussed earlier, is an enterprise’s memory. Data mining can provide intelligence using that memory. * 07/16/96 * ## Examples uses associations. Recommendations to customers are based on past purchases and what other

• Thương mại điện tử
• Information system
• Business management information system
• Management information system
• Business management
• Data mining
• Information explosion
• Information system today
• Types of information systems
• Managing information resources
• Managing information
• Information security
• Management countermeasures
• Chief information officer
• Chief information officer profile
• Information systems planning
• Traditional strategy making
• Document management
• Interorganizational system development
• Supporting decision making
• Executive Information Systems
• Information resources
• Competitive advantagev
• Valuable information
• Transaction processing systems
• Internet revolution
• Business to employee
• Profitability strikes back
• Strategic advantage
• Technologies for developing systems
• Systems development
• Supporting collaboration
• Systems to support collaboration
• Learning organization
• Challenges ahead
• Internet mindset
• Moving forward
• Distributive systems
• Managing telecommunications
• Federal model
• CIO responsibilities
• Data warehouse
• Decision support systems
• Organizational environment
• Technology environment
• Knowledge management
• Business intelligence