Data Warehousing and Data Mining · Unit 3
Data Mining Fundamentals and Goals
Exam-focused notes for Data Mining Fundamentals and Goals (Data Warehousing and Data Mining, BIT454): what the TU syllabus asks and how it has actually been tested, with 2 solved past questions from this unit.
What this unit covers
- Data mining definition and scope
- Data mining functionalities and tasks
- Data mining goals and objectives
- Classification and prediction
- Clustering and segmentation
- Association rule mining
- Outlier detection and analysis
Data mining functionalities and tasks
What are the data mining functionalities? Explain. [5]
Data mining functionalities refer to the types of patterns and knowledge that can be discovered from data. The main data mining functionalities are: - Characterization: Summarizes the general characteristics or features of objects in a target class. It prov...
Full solved answer →Data mining goals and objectives
List some of the data mining goals.Explain the components of data warehouse.[3+7]
(a) Data Mining Goals The main goals of data mining are: 1. Prediction - Predicting future values or trends based on historical data patterns. For example, predicting customer churn or sales forecasts. 2. Classification - Assigning data records to predefine...
Full solved answer →Make Unit 3 stick
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