a) Given the set of transactions in the table, compute the support for itemsets {e}, {b, d), and (b, d, e} by treating each transaction ID as a market basket. Transaction ID 0001 0024 0012 0031 0015 0022 0029 0040 0033 0038 Items Bought {a,d,e} {a,b,c, e} {a, b, d, e} {a, c, d, e} {b, c, e} {b, d, e} {c,d} {a,b,c} {a, d, e} {a,b,e}

a) Given the set of transactions in the table, compute the support for itemsets {e}, {b, d), and (b, d, e} by treating each transaction ID as a market basket. Transaction ID 0001 0024 0012 0031 0015 0022 0029 0040 0033 0038 Items Bought {a,d,e} {a,b,c, e} {a, b, d, e} {a, c, d, e} {b, c, e} {b, d, e} {c,d} {a,b,c} {a, d, e} {a,b,e}

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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A database has four transactions. Let min_sup 60% and min_conf = 80%. TID Date Items Bought {K, A, B, D} 10/15/2018 (D, A, C, E, B} {С, А, В, E) (В, А, D} 100 10/15/2018 200 300 10/19/2018 400 10/22/2018 Find all frequent items using Apriori and FP-growth respectively. Compare the efficiency of the (i) two meaning process.
JoziCleaners is local cleaning service that is looking to upgrade their current operations by making use of a database to keep track of the teams, houses, clients and billings of each client per/week. Each house is cleaned by one or more teams. A team goes out to a particular house on a certain day of the week. Each cleaning team has a team leader. Every cleaner eams R150 per day, except the team leader who earns a unique amount. The report that the JoziCleaners' manager produced in Microsoft Excel is illustrated as a spreadsheet in Figure 1 below. Day Client Client Name Team Members Team Leader Leader Total Code ID Wage Monday Aeliana Gebahard T3 6. Jaymes Merrickson R 350 R 850 C10 Alfher Dareia T1 Geoffrey Glover R 250 R 750 C8 Felina Diodotus T2 Elmer Victorson R 300 R 700 Brutus Sigihild Sigibert Quirinus Brutus Sigihild C9 T4 Norris Mamadou R 400 R1 000 Tuesday CS T3 Jaymes Merrickson R 350 R 850 C9 T2 5 Elmer Victorson R 300 R 700 Alfher Dareia Duncan Gardyner Geoffrey Glover…
A database has four transactions. Let min_support=60% and min conf=80% TID date Items_bought T100 10/15/99 {K,A,D,B} T200 10/15/2000 {D,A,C,E,B} T300 10/19/2000 {C,A,B,E} T400 10/22/99 {B,A,D} Find all frequent itemset using Apriori and FP-growth respectively, Compare the efficiency of two mining processes List all strong association rules (with support s and confidence c).
4. Write the relation matrix for the relation R on the set (a,b.c.d.e.f) which is defined as follows: R={a,a), (a,b), (a,c), (b,a). (b,c). (c,a), (c,b), (d,d), (f.f).
Assume that below given association is the required association between course provided and the student of the New York College. But this has several loopholes. 0,2,3 2.* Course Offering Student However, below is the complete table of registration entries of the fall semester that the above association allowed. Course Offering Student Course Offering Student Course Offering Student Homeothapy Beekeeping Beekeeping Homeothapy Homeothapy Beekeeping Fortune Telling Homeothapy Hattie Jaques Kenny Williams Joan Sims Fortune Telling Sid James Fortune Telling Hattie Jaques Joan Sims Beekeeping Vogon Poetry Beekeeping Jim Dale Kenny Williams Jim Dale Fortune Telling Joan Sims Hattie Jaques Charles Hawtrey Fortune Telling Charles Hawtrey Primal Screaming Hattie Jaques Kenny Williams Homeothapy Kenny Williams Fortune Telling Jim Dale Charles Hawtrey Your task is to identify 5 ways that the table of registration doesn't comply with the given association.
Problem 8-10 use the same database. Let a database application have the following entities Sales = (Customers, Salesperson, Retail Order, Items), which contains the information that a salesperson sells multiple items (tables, computers,...) to customers. There are many customers. There are many salesmen. There are many items. For example, John sells to Joe, Smith sells to Jane, The "Salesperson" will sale many times. The "Customer" can come back and buy items many times The "Retail Order" specifies which Salesperson sell to which customer. In each "Retail_Order", many items (tables, computers,...) can be sold Hint: This is very similar to one of your homework What is the relationship between Retail_Order and Items? One-to-many relationship None of the above One-to-one relationship Many-to-many relationship
no relatIYCS 3. Give a Z expression for the set of all people in the database who have no siblings in the database. arations through which
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The problems for this chapter use a database for a simple department store that sells items to customers and wants to keep track of the invoices, the selling price (if an item is on sale), and the sales tax (7%) to be collected on some items. Every customer and invoice are assigned unique numbers. All items have a Universal Product Code (UPC) number and bar-code assigned to each unique item. Food and non-carbonated beverages are not taxed, but clothing, home goods, and most other items are.
Consider an employee database with two relationsemployee (employee_name, street, city)works (employee_name, company_name, salary) where the primary keys are underlined. Write a function avg_salary that takes a company name as an argument and finds the average salary of employees at thatcompany. Then, write an SQL statement, using that function, to find companieswhose employees earn a higher salary, on average, than the average salary at“First Bank”.
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