1. In the context of bioinformatics, what does genomic data analysis primarily involve? A. Predicting disease outcomes based on patient demographics B. Analyzing DNA sequences to understand genetic variations C. Tracking the spread of infectious diseases D. Monitoring patient health records for treatment outcomes Answer: B (Genomic data analysis primarily focuses on analyzing DNA sequences … Read more
1. Which of the following is a common technique used for fraud detection in financial transactions? A. Clustering B. Linear regression C. Anomaly detection D. Decision trees Answer: C (Anomaly detection is a key technique for identifying fraudulent activities by spotting deviations from normal behavior in transaction data.) 2. What does the term “fraudulent behavior” … Read more
1. What is the main goal of Market Basket Analysis (MBA)? A. To predict future stock prices B. To identify associations or relationships between products bought together C. To classify customers into different segments D. To optimize website content Answer: B (The main goal of MBA is to identify relationships between products in a transaction … Read more
1. Which of the following is a common real-world application of data mining in the retail industry? A. Predicting the weather B. Detecting fraudulent credit card transactions C. Classifying images in medical imaging D. Optimizing supply chain logistics Answer: B (Data mining is widely used in retail for detecting fraudulent credit card transactions by identifying … Read more
1. What is graph mining used for? A. Analyzing numerical data in tabular form B. Analyzing relationships and patterns in graph-structured data C. Storing and indexing relational databases D. Reducing the dimensionality of image data Answer: B (Graph mining is focused on analyzing relationships and patterns in graph-structured data, such as social networks, web graphs, … Read more
1. What is stream data mining? A. Mining static datasets stored in a database B. Mining data that arrives continuously and in real-time C. Mining data from social media platforms D. Mining data for historical trends Answer: B (Stream data mining focuses on mining data that is continuously generated in real-time, typically from sources like … Read more
1. What is the primary focus of spatial data mining? A. Discovering patterns in numerical and categorical data B. Discovering patterns in geographic or spatial data C. Storing spatial data in databases D. Filtering noise from data Answer: B (Spatial data mining focuses on discovering patterns, relationships, and trends in spatial or geographic data.) 2. … Read more
1. What is temporal data mining primarily concerned with? A. Mining data without time dependencies B. Analyzing data with time-related attributes to identify patterns and trends C. Storing data in a time-efficient manner D. Using time as an attribute to classify data Answer: B (Temporal data mining focuses on analyzing data that involves time as … Read more
1. What does GDPR stand for? A. General Data Protection Regulation B. General Data Privacy Regulation C. Global Data Protection Regulation D. Government Data Protection Regulation Answer: A (GDPR stands for General Data Protection Regulation, a regulation in EU law on data protection and privacy.) 2. Which of the following rights is granted by the … Read more
1. Which of the following is the most important ethical consideration when collecting data for mining? A. The quantity of data collected B. Obtaining informed consent from the individuals whose data is being used C. Minimizing the cost of data storage D. Ensuring faster data processing Answer: B (Obtaining informed consent from individuals whose data … Read more