Show the results, conclusions, and insights you have gained as a result of applying the data analytic methodology you have proposed on the chosen data set.

In this Course Project, you will need to complete the following: 2. Choose and describe in detail the data analytics goals you will seek to accomplish for your chosen data set that is appropriately and specifically tailored for the underlying context of the data set you have chosen to analyze with the data analytics techniques […]

Databases The Enhanced Entity–Relationship (EER) Model 4.1. What is a subclass? When is a subclass needed in data modeling? 4.2. Define the following terms: superclass of a subclass, superclass/subclass rela- tionship, IS-A relationship, specialization, generalization, category, specific (local) attributes, and specific relationships. 4.3. Discuss the mechanism of attribute/relationship inheritance. Why is it use- ful? 4.4. Discuss user-defined and predicate-defined subclasses, and identify the dif- ferences between the two. 4.5. Discuss user-defined and attribute-defined specializations, and identify the differences between the two. 4.6. Discuss the two main types of constraints on specializations and generalizations. 4.7. What is the difference between a specialization hierarchy and a specializa- tion lattice? 4.8. What is the difference between specialization and generalization? Why do we not display this difference in schema diagrams? 4.9. How does a category differ from a regular shared subclass? What is a cate- gory used for? Illustrate your answer with examples. 4.10. For each of the following UML terms (see Sections 3.8 and 4.6), discuss the corresponding term in the EER model, if any: object, class, association, aggre- gation, generalization, multiplicity, attributes, discriminator, link, link attri- bute, reflexive association, and qualified association. 4.11. Discuss the main differences between the notation for EER schema dia- grams and UML class diagrams by comparing how common concepts are represented in each. 4.12. List the various data abstraction concepts and the corresponding modeling concepts in the EER model. 4.13. What aggregation feature is missing from the EER model? How can the EER model be further enhanced to support it? 4.14. What are the main similarities and differences between conceptual database modeling techniques and knowledge representation techniques? 4.15. Discuss the similarities and differences between an ontology and a database schema

The Enhanced Entity–Relationship (EER) Model 4.1. What is a subclass? When is a subclass needed in data modeling? 4.2. Define the following terms: superclass of a subclass, superclass/subclass rela- tionship, IS-A relationship, specialization, generalization, category, specific (local) attributes, and specific relationships. 4.3. Discuss the mechanism of attribute/relationship inheritance. Why is it use- ful? 4.4. Discuss […]

 If you were designing a Web-based system to make airline reservations and sell airline tickets, which DBMS architecture would you choose from Section 2.5? Why? Why would the other architectures not be a good choice?

Think of different users for the database . What types of applications would each user need? To which user category would each belong, and what type of interface would each need? Database System Concepts and Architecture Choose a database application with which you are familiar. Design a schema and show a sample database for that […]

Discuss the main characteristics of the database approach and how it differs from traditional file systems.

In this chapter we defined a database as a collection of related data, where datameans recorded facts. A typical database represents some aspect of the real worldand is used for specific purposes by one or more groups of users. A DBMS is ageneralized software package for implementing and maintaining a computerizeddatabase. The database and software […]

What is the probability of accident with No-Injury? What is the probability of having Wet-Road as the road surface condition? What is the probability of an accident with No-Injury and Wet-Road condition?

Data Mining Course Section: 001 or 002 A total of 1 question with 8 parts for 50 points. 1- This question involves concepts and practices from Naïve Bayes and CART classifier. Download and open “Assignment4-Code.R” and “accidents1.csv” data file from Canvas. The data set contains 595 records of car accidents. Description of the parameters are […]

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