Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
You are required to undertake the following tasks:1. Problem IdentificationDownload the dataset assigned to you from the module Blackboard site.Read the data description file to learn some basic characteristics of the dataset. Make sure you have understood the nature of the data.Perform simple data exploration to get to know: the total number of instances in the dataset, the number of attributes, the data type of each attribute, the basic statistics of each attribute (value range, skewness, and kurtosis), etc. Identify and understand the business problems concerned with regard to the data.Translate the business problem to a data mining problem, and identify the associated data mining tasks to be performed.3. Data Preparation Transform the dataset into the proper format to be used by SAS® in order to carry out the required data mining task.Choose appropriate methods for data pre-processing, including dealing with missing values, tackling noisy data, conducting proper data transformation and normalisation, etc.Divide the whole dataset into several subsets to be used for model training, test and validation.4. Model BuildingPerform the data mining task you have identified in the first task using the pre-processed dataset. Each task should be completed by applying at least two different algorithms. For classifier building, for example, you may choose decision trees and artificial network networks, or decision trees and nearest-neighbour based algorithm, etc.In order to build the most appropriate and accurate models different combinations of the relevant model parameters should be considered for each of the selected algorithms.5. Model EvaluationUse the test and validation datasets created in the second task to evaluate the performance of the model produced from the data mining process. Compare the performance of different models in terms of accuracy, generalisation ability, simplicity and cost etc.Discuss how the models created can be used to address the main business problems identified in the first task.Final reportYou final report should be well-formatted as a formal report containing Title page, Table of Contents, Abstract and References. The main content of the report must as a minimum include the following information: A brief discussion on the methodology adopted for the data mining process.A discussion on what pre-processing was carried out on the given dataset and why it should be conducted.A discussion on each of the algorithms that were chosen and applied for the data mining task, and an explanation of the settings for the relevant nodes employed in SAS® Enterprise Miner.A detailed analysis and sound interpretation of the models constructed, including the performance of each model, and their applicability to address the original business problems. A reflective commentary and evaluation on the coursework. Essential statistics, screen shots, and graphs.The report should be submitted in a hard copy as well as an electronic copy.
Means of escape from trains - railway inspections: The means of escape from trains is also considered in NFPA130. Some of the considerations are: At least two eme
What are the problems arises during construction and their solutions
Q. Differentiate crystalline and amorphous materials? (a)Crystalline solids: Those solids in which the, ions atoms or molecules in a definite regular repeated
i need assignment on monday. is it possible?
Who is a more senior creditor, a bondholder or stockholder? The bondholder is always more mature. Stockholders (including those who own recommended stock) must delay until bond
Is the dividend paid on common stock taxable to shareholders? The results paid on common inventory are taxed on two stages in the U.S. First at the company stage, as a results c
A fund manager’s high growth portfolio is made up of 80% (w1) in shares and 20% (w2 ) in bonds. Over the course of year 2010, the returns from each asset class are expected to have
I have a project in power flow analysis. The project topic is: Study of Load impact on power flow (constant power, constant impedance, constant current, induction motor) and use th
The need for working capital to run the day-to-day business activities cannot be overemphasized. We will hardly find a business firm which does not require any amount of working ca
explain ramp type
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd