Lecture 3: Big Data Utilisation & Adoption Flashcards

1
Q

??: Knowledge Discovery:

Extract ? from data

A

Data Mining: Knowledge Discovery:

Extract patterns from data

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2
Q

Data Mining Process:

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

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)
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3
Q

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

A

Text Analytics = Information Retrieval +Text Mining

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4
Q

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

A

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

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5
Q

Structured data: in [.]

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

A

Structured data: in databases

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

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6
Q

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

A

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

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