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Data Warehousing & Mining Exam 1 (Chapter 5) questions and answers
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Data Warehousing & Mining Exam 1 (Chapter 5) questions and answers
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Data Warehousing & Mining Exam1 (Chapter 5) questions and
answers
Data Mining - answer The process through which previously
unknown patterns in data were discovered.
Uses statistical, mathematical, and artificial intelligence techniques
to extract and identify useful information and subsequent
knowledge (or patterns) from large sets of data.
Process (Data Mining Term) - answer Comprises many iterative
steps.
Nontrivial (Data Mining Term) - answer Some experimentation-type
search or inference is involved, that is, it is not as straight-forward
as a computation of predefined quantities.
Valid (Data Mining Term) - answer The discovered patterns should
not hold true on new data with sufficient degree of certainty.
Novel (Data Mining Term) - answer The patterns are not previously
known to the user within the context of the system being analyzed.
Potentially Useful (Data Mining Term) - answer The discovered
pattern should lead to some benefit to the user or task.
Ultimately Understandable (Data Mining Term) - answer The pattern
should make business sense that leads to the user saying, "mmm! It
makes sense; why didn't I think of that' if not immediately, at least
after some post processing.
, Data - answer Refers to a collection of facts usually obtained as the
result of experiments; measurements of a set of variables.
Viewed as the lowest level of abstraction from which information
and knowledge are derived.
Data classifications (highest level of abstraction) - answer 1.
Categorical
2. Numeric
Categorical Data subcategories - answer 1. Nominal
2. Ordinal
Numerical Data subcategories - answer 1. Interval
2. Ratio
Categorical Data - answer Represents the labels of multiple classes
used to divide a variable into specific groups.
Can be discrete data implying that it represents a finite number of
values with no continuum between them.
Symbols; do not imply the possibility of calculating fractional
values.
Nominal Data - answer Contain measurements of simple codes
assigned to objects as labels, which are not measurements. Can be
represented as binomial values-having two possible values, or
multinomial values-having 3+ possible values.
Binomial Values - answer Have two possible values; i.e. Yes/No.
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