01-08-2012, 03:58 PM
data mining
DATA MINING.ppt (Size: 1.79 MB / Downloads: 280)
Data Mining Definition
Finding hidden information in a database
Fit data to a model
Similar terms
Exploratory data analysis
Data driven discovery
Deductive learning
Data Mining Algorithm
Objective: Fit Data to a Model
Descriptive
Predictive
Preference – Technique to choose the best model
Search – Technique to search the data
“Query”
Basic Data Mining Tasks
Classification maps data into predefined groups or classes
Supervised learning
Pattern recognition
Prediction
Regression is used to map a data item to a real valued prediction variable.
Clustering groups similar data together into clusters.
Unsupervised learning
Segmentation
Partitioning
Dimensional Modeling Queries
Roll Up: more general dimension
Drill Down: more specific dimension
Dimension (Aggregation) Hierarchy
SQL uses aggregation
Decision Support Systems (DSS): Computer systems and tools to assist managers in making decisions and solving problems.
DATA MINING.ppt (Size: 1.79 MB / Downloads: 280)
Data Mining Definition
Finding hidden information in a database
Fit data to a model
Similar terms
Exploratory data analysis
Data driven discovery
Deductive learning
Data Mining Algorithm
Objective: Fit Data to a Model
Descriptive
Predictive
Preference – Technique to choose the best model
Search – Technique to search the data
“Query”
Basic Data Mining Tasks
Classification maps data into predefined groups or classes
Supervised learning
Pattern recognition
Prediction
Regression is used to map a data item to a real valued prediction variable.
Clustering groups similar data together into clusters.
Unsupervised learning
Segmentation
Partitioning
Dimensional Modeling Queries
Roll Up: more general dimension
Drill Down: more specific dimension
Dimension (Aggregation) Hierarchy
SQL uses aggregation
Decision Support Systems (DSS): Computer systems and tools to assist managers in making decisions and solving problems.