1. Which of the following is not a data mining task?

• Classification

• Clustering

• Regression

• Linear Programmin

2. 2.What are the functions of Data Mining?

• 1. Association and correctional analysis classification

• 1. Prediction and characterization

• 1. Cluster analysis and Evolution analysis

• 1. All of the above

3. What is the purpose of data preprocessing in data mining?

• To transform raw data into a suitable format for analysis

• To summarize data in a compact form

• To generate new data from existing data

• To visualize data for easier analysis

4.Which of the following can be considered as the correct process of Data Mining?

• 1. Infrastructure, Exploration, Analysis, Interpretation, Exploitation

• 1. Exploration, Infrastructure, Analysis, Interpretation, Exploitation

• 1. Exploration, Infrastructure, Interpretation, Analysis, Exploitation

• 1. Exploration, Infrastructure, Analysis, Exploitation, Interpretation

5.What is KDD in data mining?

• 1. Knowledge Discovery Data

• 2. Knowledge Data definition

• 1. Knowledge data house

• 1. Knowledge Discovery Database

6.Which of the following is an essential process in which the intelligent methods are applied to extract data patterns?

• 1. Warehousing

• 2. Data Mining

• 1. Text Mining

• 1. Data Selection

7.Which of the following refers to the problem of finding abstracted patterns (or structures) in the unlabeled data?

• 1. Supervised learning

• 1. Unsupervised learning

• 1. Hybrid learning

• 1. Reinforcement learning

8.Which one of the following refers to querying the unstructured textual data?

• 1. Information access

• 1. Information update

• 2. Information retrieval

• 2. Information manipulation

9.What is the main goal of data mining?

• • To store and distribute data.

• • To turn raw data into helpful information.

• • To classify data for further tasks.

• None of the answer

10.Which industry can benefit from data mining?

• Retail

• Manufacturing

• Finance/Banking

• All of these