List four types of ambiguous organizational schemes and explain them.
What will be an ideal response?
Topical schemes categorize items by subject. Library of Congress subject index is an example. The ACM Guide to Periodic Literature’ subject index is another.
Task-specific schemes organize items by functionality or service they provide. This type of scheme is often used to organize menus in software. For example, in MS Word, the functions for cutting, pasting, undo, find and replace are under the heading of “Edit” while commands involving paragraph placement, item numbering and inter-line spacing are in the category “Format”. The home page for ACM’s Digital Library has a predominantly task-specific scheme.
Audience-specific schemes cater to identifiable groups of users, or audiences, that visit a site. Many manufacturers have a link specifically for distributors and another link for customers who want to find a retailer.
Metaphor-driven schemes capitalize on a user’s previous experience with the familiar to help them navigate a site. The use of a metaphor to organize a content can be extremely limiting because it cannot accommodate functionality or concepts that aren’t present in the original metaphor.
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Consider the data set shown in Table 7.13. Suppose we are interested in extracting the following association rule:
{?1 ? Age ? ?2,Play Piano = Yes} ?? {Enjoy Classical Music = Yes}
To handle the continuous attribute, we apply the equal-frequency approach
with 3, 4, and 6 intervals. Categorical attributes are handled by introducing
as many new asymmetric binary attributes as the number of categorical val-
ues. Assume that the support threshold is 10% and the confidence threshold
is 70%.
(a) Suppose we discretize the Age attribute into 3 equal-frequency intervals.
Find a pair of values for ?1 and ?2 that satisfy the minimum support
and minimum confidence requirements.
(b) Repeat part (a) by discretizing the Age attribute into 4 equal-frequency
intervals. Compare the extracted rules against the ones you had ob-
tained in part (a).
(c) Repeat part (a) by discretizing the Age attribute into 6 equal-frequency
intervals. Compare the extracted rules against the ones you had ob-
tained in part (a).
(d) From the results in part (a), (b), and (c), discuss how the choice of
discretization intervals will affect the rules extracted by association rule
mining algorithms.
The CPU consists of which two parts?
A) The arithmetic logic unit and the front side bus B) Cache memory and SSD storage C) The control unit and the arithmetic logic unit D) The control unit and the front side bus
You can customize the look of your site by creating, modifying, and applying ___________________.
Fill in the blank(s) with the appropriate word(s).
A(n) ____ is a method that returns a value and is used to examine part of the contents of an object.
A. mutator B. evaluator C. instantiator D. accessor