Everything you need to know about Data Mining
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There are many different methods of Data Mining and these range from Field Research, Classification, Classification by Field, Classification by Location. The more varied the field the greater the chance that you will be able to extract useful information. By making use of a field-research method your chances of finding information related to the topic in question increase greatly.
Analyzing The Data:
It’s like looking for clues in a maze: where there is a maze, there is a clue to the location of the exit. This kind of work is at a high probability if you have conducted a survey or participated in market research and are currently collecting information.
Some companies will ask for a list of questions about each topic they consider. It’s a good idea to compile all this information and to make sure it is accurate, as that will assist in getting the job done right. In addition to retrieving information through surveys, other fields may ask for a list of questions that should be answered to classify the questions.
Data Mining Steps:
Generally, Classifying by Field would mean locating individuals with similar interests in order to distinguish between them and another group of subjects. It is often used when asking clients for their opinions or views about the product or service being offered.
Many websites could also do data mining on the topics of the site to see what kind of things can be found on those websites. This could be used as a way to improve the site. And to simply provide interesting and entertaining information. Another reason for doing data mining is to see what information an internet site provides that other sites don’t.
Collecting Necessary Information:
Data Mining is done by collecting information most of the time while conducting a survey. If a survey is much more interesting, it’s likely that you or I would want to continue completing the survey questions. The database where the information was collected is called the Mining database. The information from the survey will contain an individual’s age, interests, hobbies, background and many other things including privacy. Once you have a database that has information about the population of interest. The next step is to enter the data into a computer program. That works with the database to develop an image from which big companies get benefits.
Software programs are used to extract information that was not included in the original question. Next, the database is sorted in an organized manner to determine which questions are the most relevant to the data mined. Using a technique called clustering or principal component analysis, the data are grouped in a way that allows for the information to be determined. This process, or clustering, creates a hierarchy of information that could be looked up.
Data Mining is a very broad field that encompasses many different methods and techniques. These include but are not limited to social science, Geography, statistics, business, computers, and mathematics.
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