......... 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.

• Data mining

• Big data

• Clustering

• Association

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

• Data mining

• Machine learning

• Big data

• Clustering

Machine learning is perfectly suited for

• Complex data

• Data in various forms

• Data collected from diverse sources

• All the above

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

• Inferential statistics

• Data mining

• Association

• Data mining

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

• Data variety

• Data validity

• Data velocity

• Data integrity

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

• Data variety

• Data velocity

• Data validity

• Data mining

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

• Unstructured

• Structured

• Segmented

• Semantic

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

• Keyword-based

• Semantic

• Contextual

• Structured

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

• Data mining

• Artificial intelligence

• Business intelligence

• Machine learning

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

• Data mining

• Business intelligence

• Artificial intelligence

• Big data