'Real world entities' diaporamas de présentation

Data Warehousing/Mining Comp 150 DW Chapter 3: Data Preprocessing

Data Warehousing/Mining Comp 150 DW Chapter 3: Data Preprocessing. Instructor: Dan Hebert. Chapter 3: Data Preprocessing. Why preprocess the data? Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Summary.

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Data Pre-processing

Data Pre-processing. Data cleaning Fill in missing values, smooth noisy data, identify or remove outliers, and resolve inconsistencies Data integration Integration of multiple databases, data cubes, or files Data transformation Normalization and aggregation Data reduction

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Object Oriented Programming

Object Oriented Programming. Idea Computer program may be seen as comprising a collection of objects Object Fundamental entity in a JAVA program Used to represent real world entities Example: employee in a company may be an object Sends messages to other objects

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Object Oriented Program Terms

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Transparency and statistics

Transparency and statistics. The contribution of statistics to the improvement of transparency in the policy making process. Policy making and transparency. Policy making covers the whole process from decision making up and until evaluation of the implementation

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