Download MCMS Module Discussion - University of West London

Oracle
Data Mining
Ying Zhang
Agenda
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Data Mining
Data Mining Algorithms
Oracle DM
Demo
Data, Information, Knowledge
• Data
Items that are the most elementary descriptions
of things, events, activities, and transactions
• Information
Organized data that has meaning and value
• Knowledge
Processed data or information that conveys
understanding or learning applicable to a
problem or activity
Interdisciplinary nature of
data mining
machine
statistics
learning
(AI)
DM
databases
Data Mining: A KDD Process
Pattern Evaluation
Data Mining
Task-relevant Data
Data Warehouse
Selection
Data Cleaning
Data Integration
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Data Mining Algorithms
• Decision Trees
• Nearest Neighbor Classification
• Neural Networks
• Rule Induction
• K-means Clustering
The Two Concept Learning Paradigms
• Supervised Learning
– builds a learner model using data instances of
known origin.
– and uses the model to determine the
outcome new instances of unknown origin.
– Classification, Regression
• Unsupervised Learning
– A data mining method that builds models from
data without predefined classes.
The Data Mining Process
Generalization vs. Overfitting
Oracle Data Mining
• Popular models in classification, clustering,
regression, association, feature extraction etc.
• Statistics
• SQL & Java
• Data Miner
Oracle Data Mining Example Use Cases
Oracle 11g Data Mining algorithm