Finding hidden information in a database
Fit data to a model
Similar terms
Objective: Fit Data to a Model
Descriptive
Predictive
Preference – Technique to choose the best model
Search – Technique to search the data
“Query”
Classification maps data into predefined groups or classes
Supervised learning
Pattern recognition
Prediction
Regression to map a data item to a real valued prediction variable.
Clustering groups similar data together into clusters.
Knowledge Discovery in Databases (KDD): process of finding useful information and patterns in data.
Data Mining: Use of algorithms to extract the information and patterns derived by the KDD process
Database Perspective on Data Mining
Visualization Techniques
DB & OLTP Systems
Fuzzy Sets and Logic
Relational View of Data
Cube view of Data
Data Warehousing
Simple descriptive models
Statistical inference: generalizing a model created from a sample of the data to the entire dataset.
Exploratory Data Analysis:
Data can actually drive the creation of the model
Opposite of traditional statistical view.
Data mining targeted to business user
Point Estimate: estimate a population parameter
.
calculating the parameter for a sample
.
predict value for missing data
.
Bayes Theorem
Operational Data: Data used in day to day needs of company
.
Informational Data: Supports other functions such as planning and forecasting
.
Data mining tools often access data warehouses rather than operational data
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