Knowledge discovery process MCQs December 22, 2025November 18, 2024 by u930973931_answers 10 min Score: 0 Attempted: 0/10 Subscribe 1. What is the first step in the knowledge discovery process? (A) Data Mining (B) Data Transformation (C) Data Selection (D) Data Cleaning 2. Which of the following best describes data mining? (A) Identifying useful patterns and knowledge from data (B) Collecting raw data from various sources (C) Storing data for future use (D) Transforming data into a usable format 3. What is the purpose of data preprocessing in the knowledge discovery process? (A) To train machine learning models (B) To visualize patterns in data (C) To remove errors and inconsistencies in data (D) To store data efficiently 4. Which of the following is NOT a step in the knowledge discovery process? (A) Software Debugging (B) Data Integration (C) Feature Engineering (D) Data Cleaning 5. What is the final stage of the knowledge discovery process? (A) Pattern Evaluation (B) Data Visualization (C) Data Cleaning (D) Knowledge Presentation 6. Which of these is an example of unsupervised learning in the context of knowledge discovery? (A) Regression analysis (B) Classification (C) Clustering (D) Time series analysis 7. In knowledge discovery, what is the role of feature selection? (A) To reduce the dimensionality of data by selecting the most relevant features (B) To evaluate the performance of a predictive model (C) To store data for analysis (D) To clean noisy data 8. What is the output of the data mining step in the knowledge discovery process? (A) Cleaned data (B) Data visualization (C) Discovered patterns or models (D) Raw data 9. What is the difference between data warehousing and data mining in knowledge discovery? (A) Data warehousing visualizes data, while data mining preprocesses it. (B) Data warehousing cleans data, while data mining integrates it. (C) Data warehousing stores data, while data mining analyzes it. (D) Data warehousing creates models, while data mining retrieves raw data. 10. Which of the following evaluation methods is commonly used to assess the effectiveness of a discovered pattern? (A) Cross-validation (B) Data integration (C) Data cleaning (D) Data visualization