Lecture 3: Big Data Utilisation & Adoption

Question 1

??: Knowledge Discovery:

Extract ? from data

Answer 1

Data Mining: Knowledge Discovery:

Extract patterns from data

Question 2

Data Mining Process:

• […] (Cross-Industry Standard Process for Data Mining)
• […] (Sample, Explore, Modify, Model, and Assess)
• […] (Knowledge Discovery in Databases)

Answer 2

Data Mining Process:

• C R I S P-D M (Cross-Industry Standard Process for Data Mining)
• S E M M A (Sample, Explore, Modify, Model, and Assess)
• K D D (Knowledge Discovery in Databases)

Question 3

Text Analytics = [..] + [..]

Answer 3

Text Analytics = Information Retrieval +Text Mining

Question 4

To perform text mining – first, impose [.] to the data, then [.] the structured data.

Answer 4

To perform text mining – first, impose structure to the data, then mine the structured data.

Question 5

Structured data: in [.]

Unstructured data: [.] documents, […] files, text excerpts, XML files, and so on

Answer 5

Structured data: in databases

Unstructured data: Word documents, PDF files, text excerpts, XML files, and so on

Question 6

[.] mining (or [.] data mining) is the [.] of discovering intrinsic relationships from Web data (textual, linkage, or usage).

Answer 6

Web mining (or Web data mining) is the PROCESS of discovering intrinsic relationships from Web data (textual, linkage, or usage).