Assuming a database has 4 transactions in a supermarket as shown below. ID Date Product ID001 Oct 8, 2021 {K, A, D, B} IDO02 Oct 9, 2021 {D, A, C, E, B} ID003 Oct 15, 2021 {С, А, В, Е} IDO04 Oct 20, 2021 {В, А, D} Assuming a minimum level of support, min_sup = 60% and the minimum level of confidence, min_conf = 80%. Find all the frequent item sets using the Apriori algorithm. Show your solution steps each iteration, the candidates and acceptable frequent item sets.

Assuming a database has 4 transactions in a supermarket as shown below. ID Date Product ID001 Oct 8, 2021 {K, A, D, B} IDO02 Oct 9, 2021 {D, A, C, E, B} ID003 Oct 15, 2021 {С, А, В, Е} IDO04 Oct 20, 2021 {В, А, D} Assuming a minimum level of support, min_sup = 60% and the minimum level of confidence, min_conf = 80%. Find all the frequent item sets using the Apriori algorithm. Show your solution steps each iteration, the candidates and acceptable frequent item sets.

A Guide to SQL

9th Edition

ISBN:9781111527273

Author:Philip J. Pratt

Publisher:Philip J. Pratt

Chapter2: Database Design Fundamentals

Section: Chapter Questions

Problem 11RQ

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In a database, there are values a data element can take, and there are values it cannot take. In other words, data element values should be within correct ranges. For example, ages of employees should be between 18 and 80. Which one of the following database features ensures that? a) Security b) Data Integrity c) Data Sharing d) Concurrency Control e) Data Independence Which one/ones of the following uniquely distinguishes the tuples of a relation? a) primary key b) super key c) candidate key d) alternate key e) foreign key f) a, c, and e g) a, b, c, d, and e. h) a, b, c, and d. Which one(s) of the following may exist more than once for a relation? a) primary key b) super key c) candidate key d) alternate key e) foreign key f) a, b, and c g) b, c, and d h) b, c, d, and e h) a, b, c, and d. i) a, b, c, and e j) a, b, c, d, and e. In the…
1.13) The implicit goals of the design activity are information preservation and minimum redundancyTrue False 1.14) Update anomalies are known as insertion anomalies, deletion anomalies, and modification anomaliesTrue False 1.15) A well-designed database can handle both OLTP and OLAP operations efficientlyTrue False 1.16) Database engine uses statistics to generate estimated execution plans then picks the best oneTrue False 
Suppose that you are a manufacturer of product ABC, which is composed of parts A, B, and C. Each time a new product ABC is created, it must be added to the product inventory, using the PROD_QOH in a table named PRODUCT. Also, each time the product is created, the parts inventory, using PART_QOH in a table named PART, must be reduced by one each of parts A, B, and C. The sample database contents are shown in Table P10.1. Given the preceding information, answer Questions a through e. How many database requests can you identify for an inventory update for both PRODUCT and PART? Using SQL, write each database request you identified in Step a. Write the complete transaction(s). Write the transaction log, using Table 10.1 as your template. Using the transaction log you created in Step d, trace its use in database recovery.
Suppose that you are a manufacturer of product ABC, which is composed of parts A, B, and C. Each time a new product ABC is created, it must be added to the product inventory, using the PROD_QOH in a table named PRODUCT. Also, each time the product is created, the parts inventory, using PART_QOH in a table named PART, must be reduced by one each of parts A, B, and C. The sample database contents are shown in Table P10.1.Given the preceding information, answer Questions a through e.a. How many database requests can you identify for an inventory update for both PRODUCT and PART?b. Using SQL, write each database request you identified in Step a.c. Write the complete transaction(s).d. Write the transaction log, using Table 10.1 as your template.e. Using the transaction log you created in Step d, trace its use in database recovery.
Consider given database schema and write triggers for each statement. Student ( regNo, sName, sCity, sCGPA, sAge) Student_BACKUP( regNo, sName, sCity, sCGPA, sAge) Course ( cCode, cName, credit_hours) Enrollment (regNo, cCode, semester,quality_points,Grade) Enrollment_BACKUP(regNo, cCode, semester,quality_points,Grade) 1- Whenever a record is inserted in student table, system must check following constraints in inserted value. a. sAge between 18 and 25 b. sCGPA between 0.0 and 4.0 if any of constraints are violated, system must delete record inserted by user. 2- Write a mechanism which should not allow user to update Grade in Enrollment table. Other columns of Enrollment table can be updated. 3- Write a mechanism which should copy those record to “Enrollment_BACKUP” whose GRADE is ‘F’, whenever a record is inserted in Enrollment Table. 4- Write a mechanism which stores all deleted record to Student_BACKUP table whenever a record is deleted from Student table. 5- Write a…
Consider given database schema and write triggers for each statement. Student ( regNo, sName, sCity, sCGPA, sAge) Student_BACKUP( regNo, sName, sCity, sCGPA, sAge) Course ( cCode, cName, credit_hours)Enrollment (regNo, cCode, semester,quality_points,Grade)Enrollment_BACKUP(regNo, cCode, semester,quality_points,Grade) 1- Whenever a record is inserted in student table, system must check following constraints in inserted value.a. sAge between 18 and 25b. sCGPA between 0.0 and 4.0if any of constraints are violated, system must delete record inserted by user. 2- Write a mechanism which should not allow user to update Grade in Enrollment table.Other columns of Enrollment table can be updated. 3- Write a mechanism which should copy those record to “Enrollment_BACKUP” whose GRADE is ‘F’, whenever a record is inserted in Enrollment Table. 4- Write a mechanism which stores all deleted record to Student_BACKUP table whenever a record is deleted from Student table. 5-…
The database contains the following data items and their values: A = 1000B = 1500C = 3000 Log file is empty at first (contains no entries). x, y, z, t - transaction local variables (not stored in DB). The following transaction execution schedule is given: T0 T1 T2 START TRANSACTION WRITE(2000, B) Start TRANSACTION READ (x, A) x=x+n1n2n3n4n5 WRITE (x, A) CHECKPOINT START TRANSACTION COMMIT TRANSACTION READ (y, B) y = y-n3n4n5 READ (z, C) z=z+n1n2n3n4 WRITE (z, C) WRITE (y, B) CHECKPOINT COMMIT TRANSACTION Read (t, C) SYSTEM FAIL The activity logging is performed (in the database). Log file entries are not buffered and are saved to disk when each new log file entry is inserted (Immediate Database Modification scheme is used). No fuzzy checkpointing is used. Any of Early lock release and Logical Undo Loging are not used. a) What will be the contents of…
Give a relational database schema for the following: EMPLOYEE (Fname, Minit, Lname, SSN, Bdate, Address, Sex, Salary, Super_ssn, Dno) PK= Ssn FK= Super_ssn DEPARTMENT ( Dnamc, Dnumbcr, Mgr_ssn, Mgr_start_datc) PK= Dnumbcr FK= Dno DEPT_LOCATIONS (Dnumber, Dlocation) PK= Dnumber FK= Dnumbcr PROJECT (Pname, Pnumber, Plocation, Dnum) PK= Pnumber FK= Pno WORKS_ON (Essn, Pno, Hours) PK= Pno FK= ssn DEPENDENT (Essn, Dependent_name, Sex, Bdate, Relationship) PK= Essn FK= Ssn
Assume that a bank's database is safeguarded using snapshot isolation database technology. Do you have any instances of how a nonserializable execution might harm the bank?
A database must store an employee table consisting of 100000records each of which is 80byteslong. Answer the following questions by assuming these congurations/parameters: B = 512bytes,interblock gap size G = 128bytes, numberof blockspertrack = 256, numberof trackspersurf ace =400. The disk has 8 platters each with two heads (only one head can read at a time of all 16 heads),rotates at 7200rpm, has a track − to − trackseektime(m) of 1ms, s = 12ms, r = 4.16ms, andbtt = 0.03255ms. 1. How many records can be stored per block (blocking factor) using spanned and unspannedcongurations?2. What is the utilization (%) for the unspanned conguration?3. If the le is physically ordered, what is the average time in milli second to read a record ineach conguration?
Consider the database containing transaction data as shown in the table below. Apply Apriori algorithm and find the frequent itemsets where min-sup=2. TID Items Bought 1 Daiper, Bread, Juice 2 Eggs, Bread, Pasta 3 Daiper, Eggs, Bread, Pasta 4 Eggs, Pasta 5 Rice
Given the following transaction database: Transaction id Items t1 {1, 3, 4, 6} t2 {2, 3, 5} t3 {1, 2, 3, 5} t4 {2, 5,} t5 {1, 2, 3, 5} t6 {1, 2, 3, 5, 6} What is the output of the Apriori algorithm run on the previous transaction database with a minimum support of 50 % (i.e. 3 out of 6 transactions)? Working steps must be shown.

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