Data Mining and Trends

Suppose one wants to predict the number of newborns according to the size of storks' population by performing supervised learning. The following given statement can be considered as an example of?

• Structural equation modeling

• Clustering

• Regression

• Classification

Which of the following statement is true about classification?

• It is a measure of accuracy

• It is a subdivision of a set

• It is the task of assigning a classification

• None of the above

The issues like efficiency, scalability of data mining algorithms comes under ________

• Performance issues

• Diverse data type issues

• Mining methodology and user interaction

• All of the above

Which of the following correctly defines the term "Discovery"?

• It is hidden within a database and can only be recovered if one is given certain clues (an example IS encrypted information).

• An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.

• It is a kind of process of executing implicit, previously unknown and potentially useful information from data

• None of the above

In certain cases, it is not clear what kind of pattern need to find, data mining should_____:

• Try to perform all possible tasks

• Perform both predictive and descriptive task

• It may allow interaction with the user so that he can guide the mining process

• All of the above

Use data mining to find interesting, human-interpretable patterns that describe the data". What is the type of data mining to achieve this objective?

• Anomaly

• Association

• Descriptive

• Categorization

Statistics techniques are incorporated into Data mining methods. (True/False).

• True

• False

Firms that are engaged in sentiment mining are analyzing data collected from?

• experiments.

• social media sites.

• focus groups.

• in-depth interviews.

“Real Time” is used to describe how well a data mining algorithm can accommodate at decreasing data load instantaneously.

• True

• False

Applications of Web Mining are?

• Web mining helps to improve the power of web search engine by classifying the web documents and identifying the web pages.

• Web mining is very useful for a particular Website and e-service e.g., landing page optimization.

• Web mining is used to predict user behavior.

• All of the above