User Account

All Pages

Data mining, Basic Computer Science

Assignment Help:
Process of Data mining

Data mining is an iterative process that typically involves the following phases:

Problem definition
A data mining project starts with the understanding of the business problem. Data mining experts, business experts, and domain experts work closely together to define the project objectives and the requirements from a business perspective. The project objective is then translated into a data mining problem definition.
In the problem definition phase, data mining tools are not yet required.

Data exploration
Domain experts understand the meaning of the metadata. They collect, describe, and explore the data. They also identify quality problems of the data. A frequent exchange with the data mining experts and the business experts from the problem definition phase is vital.
In the data exploration phase, traditional data analysis tools, for example, statistics, are used to explore the data.

Data preparation
Domain experts build the data model for the modeling process. They collect, cleanse, and format the data because some of the mining functions accept data only in a certain format. They also create new derived attributes, for example, an average value.
In the data preparation phase, data is tweaked multiple times in no prescribed order. Preparing the data for the modeling tool by selecting tables, records, and attributes, are typical tasks in this phase. The meaning of the data is not changed.

Modeling
Data mining experts select and apply various mining functions because you can use different mining functions for the same type of data mining problem. Some of the mining functions require specific data types. The data mining experts must assess each model.
In the modeling phase, a frequent exchange with the domain experts from the data preparation phase is required.

The modeling phase and the evaluation phase are coupled. They can be repeated several times to change parameters until optimal values are achieved. When the final modeling phase is completed, a model of high quality has been built.

Evaluation
Data mining experts evaluate the model. If the model does not satisfy their expectations, they go back to the modeling phase and rebuild the model by changing its parameters until optimal values are achieved. When they are finally satisfied with the model, they can extract business explanations and evaluate the following questions:
Does the model achieve the business objective?
Have all business issues been considered?
At the end of the evaluation phase, the data mining experts decide how to use the data mining results.

Deployment
Data mining experts use the mining results by exporting the results into database tables or into other applications, for example, spreadsheets.
The Intelligent Miner™ products assist you to follow this process. You can apply the functions of the Intelligent Miner products independently, iteratively, or in combination.

Related Discussions:- Data mining

Artificial intelligence-long term goals, Simple Tasks to Accomplish Once...

Simple Tasks to Accomplish Once you've worried for why you're performing AI, what has inspired you and how you're going to approach the job, then you can initialize to think for

What is a socket, QUESTION (a) You have been asked to design and implem...

QUESTION (a) You have been asked to design and implement a chat application. Which protocol would you used TCP or UDP? Justify your answer. (b) Explain why multithreading is

What is Kernel-Level Thread in operating system?, In this technique, the ...

In this technique, the kernel knows about and handles the threads. No runtime system is required in this case. In place of thread table in each process, the kernel has a thread tab

Computer organization, what is cache? what are registers?

what is cache? what are registers?

What is nanp? explain, Question 1 What is NANP? Explain Question 2 ...

Question 1 What is NANP? Explain Question 2 What is E&M signaling? Discuss in brief Question 3 What are the common custom calling features? Question 4 Expl

Characteristics of artificial intelligence, Characteristics of Artificial I...

Characteristics of Artificial Intelligence: Artificial Intelligence is not an easy science to describe, as it has fuzzy borders with simulation mathematics, computer science t

Digital electronic, draw the logic diagram of 2*4 decoder in only NOR gate ...

draw the logic diagram of 2*4 decoder in only NOR gate .include enable inputs .

Greedy and intelligence search, greedy and intelligence search

greedy and intelligence search

Netbooks, Netbooks: Netbooks are special type of Laptop which is very ...

Netbooks: Netbooks are special type of Laptop which is very  light and small. Due to its size and weight it is very portable and one may carry it very easily. Dissimilar to La

Explain process creation and process termination, Question 1 Explain diffe...

Question 1 Explain different functions of an operating system. Explain the evolution of operating systems Question 2 Explain process creation and process termination Ques

Write Your Message!

Captcha
Order Assignment

Featured Services

Order Now

Popular Subjects

Free Assignment Quote

Assured A++ Grade

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!

Submit Assignment

Academics

Major Subjects

Majors

Get In Touch

whatsapp: +91-977-207-8620

Phone: +91-977-207-8620

Email: [email protected]

TERMS & POLICIES

HELP & SUPPORT

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd