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Predictive analytics

Total questions: 10

Worksheet time: 10mins

Name
Class
Date
1.

......... is concerned mainly with analyzing data through describing, summarizing, classifying, and clustering the data so as to find useful patterns, links, or associations within it.

a)

Data mining

b)

Big data

c)

Clustering

d)

Association

2.

........ is another discipline that focuses on analyzing the data and making sense of it.

a)

Data mining

b)

Machine learning

c)

Big data

d)

Clustering

3.

Machine learning is perfectly suited for

a)

Complex data

b)

Data in various forms

c)

Data collected from diverse sources

d)

All the above

4.

........ is concerned with making inferences or predictions about the characteristics of a whole population from a sample dataset.

a)

Inferential statistics

b)

Data mining

c)

Association

d)

Data mining

5.

The absence of uniformity in data is another big challenge known as .........

a)

Data variety

b)

Data validity

c)

Data velocity

d)

Data integrity

6.

.......... refers to another challenge of big data: the rate at which data is being generated, captured, or delivered.

a)

Data variety

b)

Data velocity

c)

Data validity

d)

Data mining

7.

......... search is based on the contextual meaning of search terms as they appear in the searchable data space that UIMA builds.

a)

Unstructured

b)

Structured

c)

Segmented

d)

Semantic

8.

........... search is about discovering that right time to display the right results and to the right user.

a)

Keyword-based

b)

Semantic

c)

Contextual

d)

Structured

9.

............ is about building a model that answers specific business questions.

a)

Data mining

b)

Artificial intelligence

c)

Business intelligence

d)

Machine learning

10.

......... is a more generalized data-exploration task.

a)

Data mining

b)

Business intelligence

c)

Artificial intelligence

d)

Big data