Data Mining

Data Mining

1. Evolution

   • Age
     • 1960-1970
       • As Created DBs in primitive files
       • BD Hierarchical and res
       • DMT (Data Modeling Tools).
       • Query processing and optimization
       • User Interfaces and Reports
     • 1980's
       • Advanced BD Systems
         • Extended-relational
         • Object-relational
           • And warehouse OLAP
         • Application oriented
     • 1990's
       • XML-based system
       • Web mining
     • 2000
       • New systems generation

2. Difinition

   • extract information
     • Potentially useful databases
       • Why use sata mining
         • For predict
           • Values unknown of future
         • Describe
           • find patterns
             • Describes the information
   • Previously
   • born
     • Need for new tools
       • to analyze infotmation
         • uses methods based on
           • High performance
           • Recovery of information
           • Spatial dataanalysis
           • Automatic learning
           • Patterns recognition
           • Statistics

3. Tipical System

   • Can be:
     • As DB
     • Sheet of calculation
     • Another of repository
     • And Datawarehouse
   • Knowledge Base
     • To guide the search
     • Evaluate patterns
     • Evaluation thresholds
       • Characterization
       • Association
       • Classification
       • Group Analysis