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Data Base and Data Mining Group of Politecnico di TorinoDBGThe data mining processElena Baralis

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Data Base and Data Mining Group of Politecnico di Torino

DBG

The data mining process

Elena Baralis

Politecnico di Torino

(2)

DB M G

2

Non trivial extraction of

implicit

previously unknown

potentially useful

information from available data

Extraction is automatic

performed by appropriate algorithms

Extracted information is represented by means of abstract models

denoted as pattern

Data mining

(3)

DB M G

3

Knowledge Discovery Process

data

selected

data preprocessed

data transformed

data pattern

knowledge

selection

preprocessing

transformation

data mining

interpretation

KDD = Knowledge Discovery from Data

(4)

DB M G

4

Descriptive methods

Extract interpretable models describing data

Example: client segmentation

Predictive methods

Exploit some known variables to predict

unknown or future values of (other) variables

Example: “spam” email detection

Analysis techniques

(5)

DB M G

5

Analysis techniques

Association rule extraction

Classification

Clustering

model

training data

unclassified data classified data

Riferimenti

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