Database Systems: Design, Implementation, & Management
13th Edition
ISBN: 9781337627900
Author: Carlos Coronel, Steven Morris
Publisher: Cengage Learning
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Chapter 2, Problem 10P
(a)
Explanation of Solution
Tables:
The three tables that are created to describe the relationship between PAINTER, PAINTING, and GALLERY are shown below.
Table Name : “PAINTER”
The following are the components of “PAINTER” table,
PAINTER NUM | PAINTER FNAME | PAINTER LNAME | PAINTER INITIAL |
10014 | Artiste | Josephine | P |
10015 | Itero | Julio | G |
10016 | McDonald | Theresa |
Table Name: “PAINTING”
The following are the components of “PAINTING” table,
PAINTING NUM | PAINTING TITLE | PAINTER NUM | GALLERY NUMBER |
20018 | Dawn Thunder | 10016 | 18 |
20023 | Vanilla Roses | 10015 | 18 |
20041 | Tired Flounders | 10016 | 23 | ...
(b)
Explanation of Solution
Relationship between tables:
The relationship between these tables can be described by using a Crow’s Foot ERD.
Crow’s Foot ERD:
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Take, for example, the snapshot isolation database system used by a major airline. In order to improve overall performance, the airline is ready to tolerate certain non-sTake, for example, the snapshot isolation database system used by a major airline. In order to improve overall performance, the airline is ready to tolerate certain non-serializable executions.erializable executions.
A database has 4 transactions, shown below.TID Date items_boughtT100 10/15/04 {K, A, D, B}T200 10/15/04 {D, A, C, E, B}T300 10/19/04 {C, A, B, E}T400 10/22/04 {B, A, D}Assuming a minimum level of support min_sup = 60% and a minimum level ofconfidencemin_conf = 80%:(a) Find all frequent itemsets (not just the ones with the maximum width/length) using the Apriori algorithm. Show your work—just showing the final answer is not acceptable. For each iteration show the candidate and acceptable frequent itemsets. You should show your work similar to the way the example was done in thePowerPoint slides.(b)List all of the strong association rules, along with their support and confidence values, whichmatch the following metarule, where X is a variable representing customers and itemi denotes variables representing items (e.g., “A”, “B”, etc.).x transaction, buys(X, item1) buys(X, item2) buys(X, item3)Hint: don’t worry about the fact that the statement above uses relations. The point of the…
Chapter 2 Solutions
Database Systems: Design, Implementation, & Management
Ch. 2 - Prob. 1RQCh. 2 - What is a business rule, and what is its purpose...Ch. 2 - How do you translate business rules into data...Ch. 2 - Prob. 4RQCh. 2 - Explain how the entity relationship (ER) model...Ch. 2 - Prob. 6RQCh. 2 - Prob. 7RQCh. 2 - Prob. 8RQCh. 2 - Prob. 9RQCh. 2 - Prob. 10RQ
Ch. 2 - What is a relationship, and what three types of...Ch. 2 - Give an example of each of the three types of...Ch. 2 - What is a table, and what role does it play in the...Ch. 2 - Prob. 14RQCh. 2 - Prob. 15RQCh. 2 - Prob. 16RQCh. 2 - Prob. 17RQCh. 2 - Prob. 18RQCh. 2 - Prob. 19RQCh. 2 - Prob. 21RQCh. 2 - Prob. 22RQCh. 2 - Prob. 1PCh. 2 - Prob. 2PCh. 2 - Prob. 3PCh. 2 - Prob. 4PCh. 2 - Prob. 5PCh. 2 - Using Figure P2.6 as your guide, work Problems 68....Ch. 2 - Prob. 7PCh. 2 - Prob. 8PCh. 2 - Typically, a hospital patient receives medications...Ch. 2 - Prob. 10PCh. 2 - Prob. 11PCh. 2 - Prob. 12PCh. 2 - Prob. 13PCh. 2 - Prob. 14PCh. 2 - Prob. 15PCh. 2 - Prob. 16PCh. 2 - Prob. 17P
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