Data: Collection of data objects and their attributes

Types of attributes

• Nominal: distinctness
• Oridinal: distinctness & order
• Interval: distinctness, order & addition
• Ratio: distinctness, order, addition & multiplication

Types of data sets

• Record: data matrix, documents, transactions
• Graph: web, chemical structures
• Ordered: spatial/temporal data, sequential data

Data quality problems

• noise
• outliers
• missing values
• duplicate data

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Definition

Classification as the task of learning a target function f that maps each attribute set x to one of the predicted class labels y.

Classification Tasks

• Predicting tumor cells as benign or malignant
• Classifying credit card transactions as legitimate or fraudulent
• Categorizing news stories as finance, weather, entertainment, sports, etc.

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