CAP4770 – Module 1 Assignment Objective With this assignment, students will complete examining the foundations of the process of data mining and it main elements. Assignment Questions 1. Discuss a...

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Data mining


CAP4770 – Module 1 Assignment Objective With this assignment, students will complete examining the foundations of the process of data mining and it main elements. Assignment Questions 1. Discuss a real-life application where data mining could be used. What kinds of patterns could be mined in your application example? How could the patterns be generated? 2. Select one specific application domain and explain the major research challenges of data mining for that application domain. 3. Consider the real-life application example presented by you in Question 1. Describe the architecture you would use and the purpose of its components. 4. Consider a data stream that contains spatial information that changes over time. Explain an example of such type of data stream and discuss what kind of knowledge could be mined from it. What would be some of the challenges in the implementation of data mining in your example? 5. Use your example of Question 4 to outline a method that would mine specific knowledge from the data stream. Guidelines The assignment is to be completed individually. Questions are based on Module 1 readings. Submit a Word document to the corresponding Dropbox including both, the original questions and your answers in the document. Name your file , for example, Smith_John_Module1_Assignment.docx. Make sure you write your full name, Panther ID, date, and your class section in the first lines of the document, in that order: Student Name: __________ Panther ID: __________ Date: __________ Section: __________ Grading Rubric Questions 1 – 4 are worth 1 point each and question 5 is worth 2 points of the assignment grade. Each question will be graded based on correctness, completion, and organization.
Answered Same DaySep 12, 2021

Answer To: CAP4770 – Module 1 Assignment Objective With this assignment, students will complete examining the...

Payal answered on Sep 14 2021
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FOUNDATIONS OF THE PROCESS OF DATA MINING & ITS MAIN ELEMENTS
Student Name –
Panther ID –
Date –
Section -
Que 1 - Discuss a real-life application where data mining could be used. What kinds of
patterns could be mined in your application example? How could the patterns be generated?
Ans 1 - Data Mining can be defined as the extraction of some useful information and pattern by applying specific statistical techniques from the large and massive data. The process of data mining is being used in almost every field be it Finance, healthcare, Sports, e-commerce and etc. We will be taking the use case of Healthcare data mining in our example.
Example of Data Mining In Healthcare Sector -
Data mining is becoming increasingly popular in the Healthcare Domain. Some of the useful patterns that are being generated with the help of the data mining technique are as follows
a) It helps in identification of chronic diseases in patients, tracing high risk prone areas as in case of COVID 19 pandemic. This can help in identifying particular regions and focussing on te hotspot areas in order to be most effective and efficient in the operations.
b) It can be used to analyse the symptoms, causes and side-effects of the treatment and can help in providing effective treatment to the patients by analysing the causes and effect relationship
These patterns can be generated by applying various advanced statistical techniques like Clustering, Classification and etc
Que 2 - Select one specific application domain and explain the major research challenges of data mining for that application domain.
Ans 2 - As we have considered the use case of Healthcare data mining and seen that how it can help in the effective treatment of the disease. But there are also some challenges associated with healthcare data mining that can be listed as follows
Challenges –
As we know that Healthcare is very huge and heterogeneous in nature. Moreover, this huge data comes in various formats like doctor conversation with the patients, testing results and prescription. All these data that comes...
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