why do data-mining tools expensive and require
training?
Answer: With the rising amount of data, data mining is becoming both complex and costly. Data mining is a costly matter and it involves a number of costs. The data is required to be collected from large number of sources and hence the collaboration with those sources incurs costs. Similarly there are other costs involved like cost of the hardware, costs of developing software, data preparing costs and so on. All these costs collectively contribute towards making the data mining tools expensive.
The companies use data mining tools for gathering, analyzing and processing information about their potential customers. This requires that the data mining tools provide the customers with a range of options and ways in which they can analyze and view the data for interpretation. Hence the data mining tools have a large number of functions and for operating them, training is essential.
Identify technical and clinical factors that limit the application of data mining tools within the EMR and EHR. Discuss why the clinical and business functions have not been well integrated.
Each company should require diversity training. Agree or disagree. Why?
Your facility has just purchased a very expensive surgical robotic training system and is training the OR staff in its use forg | urological procedures. What will be the variations in surgical instrumentation between gynecological and urological procedures? Icon Key ons ast3st05h_ch06.03 Assignment Score: 0.00% Save Submit Assignment for Grading Question 3 of 3 Your facility has just purchased a very expensive surgical robotic training system and is training the OR staff in its use for gynecological and urological procedures....
topic : data mining - decision making please do not give me coped answer q: What is knowledge engineering? Give examples of Synchronous and Asynchronous Tools for Indirect Support of Decision Making.??
Data Mining using R question help: Why are the attribute ranges so important when doing linear regression data mining?
Explain OLAP and data mining processes. Include the following in your discussion: The functions of OLAP and data mining How OLAP and data mining complement one another How OLAP and data mining exist independently An example of when each system would be used Tools available to support each phase of these processes
Why is data mining crucial for health care leaders to understand and perform? Describe one example of a specific applcation used for data mining.
Online Analytical Processing (OLAP) and data mining are fundamentally the same type of process, but have functional differences in how they are used in an organization. Explain OLAP and data mining processes. Include the following in your discussion: The functions of OLAP and data mining How OLAP and data mining complement one another How OLAP and data mining exist independently An example of when each system would be used Tools available to support each phase of these processes
Data Mining using R question help: Why are the attribute ranges so important when doing linear regression data mining?
Q2: What does data pre-processing mean in Data Mining and why is it important? Explain the five (5) steps in data pre-processing? Q3: What is an outlier? Why outlier detection is important in some of the data mining applications? Give examples of such applications. Please, Please, Please and Please… 1. I need new and unique answers, please. (Use your own words, don't copy and paste, even when you answer like theses answers before.) 2. Please Use your keyboard to answer...