Table of Contents
CSE 592 Data Mining
Today’s Program
Logistics
Assignments
Source Materials
What is Data Mining?
Related Disciplines
Applications of Data Mining
The Data Mining Process
Data Mining Tasks
Inductive Learning
Widely-used Approaches
Requirements for a Data Mining System
Components of a Data Mining System
Topics for this Quarter (Slide 1 of 2)
Topics for this Quarter (Slide 2 of 2)
Data Warehousing and OLAP
What is a Data Warehouse?
Data Warehouse—Subject-Oriented
Data Warehouse—Integrated
Data Warehouse—Time Variant
Data Warehouse—Non-Volatile
Data Warehouse vs. Heterogeneous DBMS
Data Warehouse vs. Operational DBMS
OLTP vs. OLAP
Why Separate Data Warehouse?
Data Warehousing and OLAP
From Tables and Spreadsheets to Data Cubes
Cube: A Lattice of Cuboids
Conceptual Modeling of Data Warehouses
Example of Star Schema
Example of Snowflake Schema
Example of Fact Constellation
Measures: Three Categories
A Concept Hierarchy: Dimension (location)
Specification of Hierarchies
Multidimensional Data
A Sample Data Cube
Cuboids Corresponding to the Cube
Browsing a Data Cube
Typical OLAP Operations
A Starnet Query Model
Data Warehousing and OLAP
Data Warehouse Design Process
PPT Slide
Three Data Warehouse Models
Data Warehouse Development: A Recommended Approach
OLAP Server Architectures
Data Warehousing and OLAP
Efficient Data Cube Computation
Cube Operation
Efficient Processing of OLAP Queries
Metadata Repository
Data Warehouse Back-End Tools and Utilities
Data Warehousing and OLAP
Discovery-Driven Exploration of Data Cubes
Examples: Discovery-Driven Data Cubes
Complex Aggregation at Multiple Granularities: Multi-Feature Cubes
Data Warehousing and OLAP
Data Warehouse Usage
From Online Analytical Processing to Online Analytical Mining (OLAM)
An OLAM Architecture
Summary
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