9626 IT - Data Mining 2

What is data mining?

• The process of collecting raw data without analysis

• The process of searching and analyzing large batches of raw data to identify patterns and extract useful information

• The process of storing data in a database

• The process of deleting unnecessary data

Which of the following is NOT a common application of data mining?

• Fraud detection

• Social media marketing

• Cooking recipes

• Customer service improvement

What are the typical steps in the data mining process?

• Understand the business, Prepare the data, Build the model, Evaluate results, Implement change

• Collect data, Analyze data, Delete irrelevant information, Present findings

• Store data, Clean data, Visualize data, Share with users

• None of the above

Which technique is used to find relationships between variables in a dataset?

• Classification

• Clustering

• Association rules

• Decision trees

What is the purpose of predictive analysis in data mining?

• To classify existing data points into predefined categories

• To forecast future outcomes based on historical information

• To visualize current trends in real-time

• To clean and prepare datasets for analysis

Which of the following describes clustering in data mining?

• Assigning predefined classes to objects based on characteristics

• Grouping similar items based on their differences from other items

• Searching for relationships between variables

• Using decision trees to predict outcomes

What is a potential disadvantage of data mining?

• It can reveal hidden information and trends.

• It can be applied to any type of data.

• It requires technical skills and may be complex.

• It drives profitability and efficiency.

How do social media companies utilize data mining?

• To delete user accounts automatically

• To gather user preferences for targeted advertising

• To prevent users from accessing their own data

• To create random content for users

What does the K-Nearest Neighbor (KNN) algorithm do?

• Classifies data based on proximity to other data points

• Predicts future outcomes using historical trends

• Organizes data into classes based on user requests

• Analyzes customer satisfaction surveys

What is one criticism associated with social media companies' use of data mining?

• They do not collect enough user data.

• Users are often unaware of how their personal information is being used.

• They provide too much transparency in their operations.

• They only use public information for analysis.