What are the various types of clusters and why is the distinction important?

Intro to data mining Question 1: What are the techniques in handling categorical attributes? How do continuous attributes differ from categorical attributes? What is a concept hierarchy? Note the major patterns of data and how they work. Question 2: What is K-means from a basic standpoint? What are the various types of clusters and why […]

How does data and classifying data impact data mining?

This week, answer the following questions in an essay format: How does data and classifying data impact data mining? What is association in data mining? Select a specific association rule (from the text) and thoroughly explain the key concepts. Discuss cluster analysis concepts. Explain what an anomaly is and how to avoid it. Discuss methods […]

What is the conditional probability of No-Injury given that the roads are wet?

Data Mining 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 show in the following table: […]

Determine the categories and assign the subtasks to the teams.

Data Mining and Analysis Telecommunications, Computers and the Internet of Things In 2018 the company had a data analyst that put together Excel spreadsheet tables on various aspects of the Telecommunications, Computer and Internet of Things Industries. The company was trying to discover the overall structure of the marketplace and the relative market shares of […]

Discuss how data mining and interpretation influences case management and utilization

Describe and evaluate the differences between evidence based practice and research. Instructions Describe the importance and application of health care information, data mining, and importance to application in patient care outcomes. Discuss how data mining and interpretation influences case management and utilization Describe participation in managed care and the importance of quality care initiatives and […]

Consider the database containing transaction data as shown in the table below.

Data mining and data warehousing Question One Define Frequent Pattern Analysis and cite its applications. What are the different methods used? Question Two Explain in your own words the difference between “supervised learning” and “unsupervised learning”. Cite some examples of use of each one. Question Three Given the testing dataset and the constructed decision tree […]

Explain one-page business letter with a clear mission and goals of a fictitious business.

Topic: Business proposal MG 756: Business Data Mining Project Proposal Instructions The term project proposal should include the following: Explain one-page business letter with a clear mission and goals of a fictitious business. Business name and logo Founding members III. Product/service description Unique traits of the product/service Milestones and a timeline Financial plan (estimates) VII. […]

Describe the relevant issue in your own words and explain why it is important to address it.

Topic: Data Mining Assignment In this assignment, you will perform predictive analytics. You are given an sqlite3 database file (Assignment2022.sqlite) which contains a total of 5500 samples across two tables. Table “train” contains 5000 samples have already been categorized into three classes. You are asked to predict the class labels of the 500 samples in […]