The KDD process involves several steps: data cleaning to remove noise, data integration of multiple sources, data selection of relevant data, data transformation into appropriate forms for mining, applying data mining techniques to extract patterns, evaluating patterns for interestingness, and representing mined knowledge visually. The KDD process aims to discover useful knowledge from various data types including databases, data warehouses, transactional data, time series, sequences, streams, spatial, multimedia, graphs, engineering designs, and web data.

1. KDD Process
By
G.Rajesh Chandra

2. Knowledge Discovery (KDD) Process
– Data mining—core of
knowledge discovery
process
Pattern Evaluation
Data Mining
Task-relevant Data
Data Warehouse
Data Cleaning
Data Integration
Databases
December 26, 2013
Selection

3. DATA CLEANING
• Remove Noise and Inconsistent Data

4. DATA INTEGRATION
• Where multiple data sources may be combined

5. DATA SELECTION
• Where data relevant to the analysis task are
retrieved from the data base

6. DATA TRANSFORMATION
• Where data are transformed and consolidated
into forms appropriate for mining by
performing summary or aggregation operation

7. Data Mining
• An essential Process where intelligent
methods are applied to extract data patterns

8. PATTERN EVALUATION
• To identify the truly interesting patterns
representing knowledge based on
interestingness measures

9. KNOWLEDGE REPRESENTATION
• Where visualization and knowledge
representation techniques are used to present
mined knowledge to users

10. WHAT KINDS OF DATA CAN BE MINED
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DATABASE DATA
Data warehouses
Transactional data
Other Kinds of Data

11. DATABASE DATA
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DBMS
Relational Database Examples
Attributes
Tuples

12. Data warehouses

13. Data Cube

14. Transactional Data
• A Transactional data must be unique

15. Other Kinds of Data
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Time Related Data
Sequence Data(Historical Records,Stock Exchange)
Data streams( Video Surveillance, Sensor Data)
Spatial Data(maps)
Hyper Text and Multimedia Data(Text,Video,Audio)
Graph and Networked Data
Engineering Design Data(auto CAD)
Web