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rue or False: 1. I can use SQL standard commands to CREATE ROLES and also to DROP ROLES which helps me to organize the permissions for large groups of users who perform the same tasks in our database. 2. Data Mining involves the use of very large data sets. As part of the Knowledge Data Design process, we clean data after encoding it for its intended outputs. 3. Classification Rules are used with our large data sets to facilitate machine learning and other summary outputs. Classification is accomplished by allowing the DBMS to determine the classifications and which records are in each class.

rue or False: 1. I can use SQL standard commands to CREATE ROLES and also to DROP ROLES which helps me to organize the permissions for large groups of users who perform the same tasks in our database. 2. Data Mining involves the use of very large data sets. As part of the Knowledge Data Design process, we clean data after encoding it for its intended outputs. 3. Classification Rules are used with our large data sets to facilitate machine learning and other summary outputs. Classification is accomplished by allowing the DBMS to determine the classifications and which records are in each class.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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True or False:

1. I can use SQL standard commands to CREATE ROLES and also to DROP ROLES which helps me to organize the permissions for large groups of users who perform the same tasks in our database.

2. Data Mining involves the use of very large data sets. As part of the Knowledge Data Design process, we clean data after encoding it for its intended outputs.

3.

Classification Rules are used with our large data sets to facilitate machine learning and other summary outputs. Classification is accomplished by allowing the DBMS to determine the classifications and which records are in each class.

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