Data Warehousing and Data Mining · Unit 2
Data Preprocessing and Preparation
Exam-focused notes for Data Preprocessing and Preparation (Data Warehousing and Data Mining, BIT454): what the TU syllabus asks and how it has actually been tested, with 1 solved past questions from this unit.
What this unit covers
- Need for data preprocessing
- Data cleaning and transformation methods
- Data integration and consolidation
- Data reduction techniques
- Handling missing values and noise
Need for data preprocessing
20815 marks
Why is data preprocessing required? Explain any two data preprocessing methods. [5]
Data preprocessing is essential because: 1. Raw data quality issues: Real-world data contains inconsistencies, missing values, duplicates, and noise that can negatively impact model performance and accuracy. 2. Improved model performance: Cleaning and trans...
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