2.5 Data Mining

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

Identify the term used to define the task of inferring a model from labeled training data

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• None

Identify the incorrect option among the following which is not involved in data mining

• Data exploration

• Knowledge extraction

• Data transformation

• Data archaeology

What is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information?

• Data mining

• Data warehousing

• Data integration

• Data processing

What is the process of automatically categorizing or grouping data based on its characteristics or attributes?

• Clustering

• Classification

• Regression

• Anomaly Detection

Which of these is correct about data mining?

• It is a procedure in which knowledge is mined from data

• It involves processes like Data Transformation, Data Integration, Data Cleaning

• It is a procedure using which one can extract information out of huge sets of data

• All of the above

Out of the following, which one is the proper application of data mining?

• Fraud Detection

• Market Management and Analysis

• Risk Management & Corporate Analysis

• All of the above

The branch of data mining concerned with the prediction of future probabilities and trends

• In Memory Analytics

• Predictive Analytics

• Behavioral Analytics

• Big Data Analytics

Which of the following is the first step in the data mining process?

• Data Cleaning

• Data Integration

• Problem Definition

• Pattern Evaluation

In which step of the data mining process are algorithms applied to discover patterns?

• Prepare and process data

• Verify and deploy

• Train and test the model

• Model the data