Data Mining Functionalities- 1

Data Mining Functionalities- Characterisation and Comparison

DM
- Descriptive DM
- Predictive DM

Concept Description

It is the most basic form of discriptive DM
- It describes a given set of task relevant data.
- In a concise and summarative manner
- presenting interesting general properties of the data

Conception Description Has
- Characterisation: It summarises and describes a collection of data called target class.
- Comparison: It summarises and distinguishes
- one collection of data
- called the target class
- from the other colleciton(s) of data
- Collectively called the contrasting class

Concept Characterisation

There are two approaches:
1. the data cube OLAP approach
2. Attribute Oriented Induction Approach
It can be implemented using
- relational structure
- data cube structure.

1.
2. Attribute oriented Induction Approach

Technique of AOI approach

a. Data Focussing:

It corresponds to speficication of task relevant data

eg.

"use"- Big University DB
"mine characteristics as "- Science Students
"in relevance to "- name, gender, major
"from" - student
'where"- status
"in"- graduate

The table so obtained is called the Initial Working Relation.