One of the measures used to assess the quality of emergency services is the rate of returning patients within 72 hours of the initial visit. A data set of 200 variables related to a hospital’s Emergency Department visit was used to develop a k-means clustering model.  Why might the approach be successful or not? What determines how to evaluate?

Q: In the case that a competence rating is awarded to each of an employee's abilities, where would this…

A: When it comes to competency models, the Human Resources department is responsible for developing a…

Q: What outcomes do we see when we apply conceptual modeling to our data?

A: In order to aid in the comprehension, design, and development of data systems, conceptual data…

Q: In the case that a competence rating is awarded to each of an employee's abilitie where would this…

A: It is defined as the logical structure of a database is modeled. Data Models are fundamental…

Q: Suppose, as manager of a chain of stores, you would like to use sales transactional data to analyze…

A: Today discovery of the new items comes with huge profit deals when it comes from the high utility…

Q: Please elaborate on how a data model aids in the prediction of strength.

A: 1) A data model is a conceptual representation of data and the relationships between data elements…

Q: Why did you choose each prediction model and a brief description of how it works.

A: what is predictive model?    So it is basically a statistical technique which uses machine learning…

Q: A school is conducting a survey of students to learn more about how they get to school. Students…

A: Overview - According to the question there is some student's data collected through survey form…

Q: SPSS, what analysis is used to provide a comparison of the performances (dependent variables) based…

A: Men whitney U test could be used in a situation when you have dependent group which is continuous…

Q: Which criteria were used for evaluating the various categorization and prediction methods?

A: When it comes to evaluating categorization and prediction methods in the realms of machine learning…

Q: Justify why SVM is better classifier than logistic regression?

A: SVM( Support vector machine) is a classification algorithm that maximizes the margin among class…

Q: SVM is a linear model; can it classify data that is not linear?

A: Support Vector Machines (SVM) is the supervised machine learning algorithm which can be used for…

Q: What does the term "predictive analysis" mean? Specify how this may be used.

A: Forecasting analysis: Based on historical and present data, predictive analysis is a set of business…

Q: Describe how OLAP differs from other types of analytical tools in descriptive statistics.

A: OLAP: Although OLAP engines make slicing, dicing, drill-down, drill-up, and drill-across operations…

Q: An explanation as to why all-subsets regression was used rather than stepwise regression to analyse…

A: Summary: Best Subsets assesses all available models and suggests the most suitable options. As a…

Q: In terms of data analysis, what benefits can all-subsets regression and stepwise regression offer?

A: Introduction: Across All Subsets Regression: It is sometimes referred to as "all conceivable models"…

Fundamentals of Big Data Analytics

Big data analytics is the process of using advanced analyzing techniques against huge variant data sets to uncover hidden pattern or knowledge. It helps in organization's decision making process. Big data can be organized in any of the following formats.