Data Mining (Quiz 1)

Identify the CORRECT data mining tasks based on the scenario given:
Case 1: To identify items that bought together based on

customer transaction’s ID
Case 2: To find the similar symptoms among COVID 19 patient
Case 3: To predict whether the target customer prefer to buy a

new smartphone.

• 1:Clustering 2:Association Analysis 3:Classification

• 1:Association Analysis 2:Clustering 3:Classification

• 1:Association Analysis 2:Classification 3:Clustering

• 1:Classification 2:Clustering 3:Classification

"The oil and gas company want to categorize the petroleum data into distinct groups in order to find the best rank of petrol."
Find the CORRECT category based on the statement above.

• Supervised learning
  

• Unsupervised learning
  

• Continuous learning

• Categorical learning

3. Find the BEST term for flower in the example to predict the flower category based on the flower characteristic.

• 0. Outcome

• 0. Attribute

• 0. Data
     

• 0. Knowledge

Which of the following is NOT a problem in mining huge amount of data?

• Cost of the learning set – related to sample size for training and cost to achieve

  good accuracy.

• 2. Time and speed – time taken to achieve certain level of accuracy or for

     evaluation.

• 2. Interoperability – the ability of model to operate in different platform

• 2. Integration - the ability to merge different sources of data type.

0. Which of the following is NOT a data mining task?

• 1. Analyzing the relationship of Twitter users towards a particular brands.

• 1. Forecasting the air traffic levels based on existing routes.

• 1. Segmenting the customers of a company according to their age.

• 1. Classifying the propensity of Covid-19 patient to have prolong Covid or not.

What are the tasks of Data Mining?

• 1. Association and correctional analysis classification

• 1. Prediction and characterization

• 1. Cluster analysis and evolution analysis

• 1. Market basket analysis

• 1. All of the above

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

The supervised algorithms for data mining are

• Linear Regression and K-means Clustering

• Decision Tree and K-nearest neighbor

• Polynomial Regression and Hierarchical clustering

• 4. Apriori and Random Forest

What are the tasks of Data Mining?

• 1. Prediction and categorization

• 1. Cluster analysis and summarization

• 1. Association and Market basket analysis

• 1. Anomaly and Deviation analysis

• 1. All the options

Searching patterns from the uncategorized data refers to ____________.

• 1. Supervised learning

• 1. Unsupervised learning

• 1. Hybrid learning

• 1. Reinforcement learning