For example, if an analyst was studying the relationship between income level and the ability to get a loan, the analyst may hypothesis that there will be a correlation between income level and the amount of credit someone may qualify for. Statistical analysis commonly involves an analyst formulating a hypothesis and then testing the validity of this hypothesis by running statistical tests on data that may have been collected for the purpose. In this article I want to give an introduction to these methods and outline what I believe is one of the main differences between the two fields of analysis. While statistical analysis has a long scientific history, data mining is a more recent method of data analysis that has arisen from Computer Science. Two methods of analyzing data that are common in both academic and commercial fields are statistical analysis and data mining. One of the Main Differences Between Statistical Analysis and Data Mining It is important for one to be very careful with documents which deal with company's personal information so that information cannot easily be manipulated. If the computer crashes do I have any backup somewhere.
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How can one update the data when information is needed Is the data very secure when am out can someone come and access it. How will one use the data that he is collecting? So if one is collecting data it is vital for one to know the following: Data mining needs good data preparation which can be in a position to uncover different types of information especially those that require privacy.Ī very common way in this occurs is through data aggregation.ĭata aggregation is when information is retrieved from different sources and is usually put together so that one can be in a position to be analyze one by one and this helps information to be very secure.
The way it is being used nowadays raises a lot of questions about security and privacy of its members. Most people who use this method believe that is ethically neutral. If the company or the business is making a profit they can be in a position to give customers an offer on the product in which they are selling so that the business can be a position to make more profit in an organization, this is very vital in human resource departments it helps in identifying the character traits of a person in terms of job performance. Such information is very vital in any companies profile and needs to be checked and updated for future reference just in case something happens.īusinesses which use data crawling focus mainly on return of investments, and they are able to know whether they are making a profit or a loss within a very short period. The main reason most companies use data mining is because data assist in the collection of information and observations that a company goes through in their daily activity. Government institutions, small scale business and supermarkets use data. It's all about all this and this knowledge must be applied here. By studying computer science one can be in a position to know: clustering, support vector machines and decision trees there are some of the units that are found on computer science.
Computers have made work easier and one can be able to expand more knowledge about data crawling and learn on how data is stored and processed through computer science.Ĭomputer science is a course that sharpens one skill and expands more about data crawling and the definition of what data mining means. With the coming up or with the introduction of computers and technology, it becomes very fast and easy to save information. These methods are never used now days because a lot of people have advanced and technology has really changed the entire system. There were early methods which were used to identify data mining there are mainly two: regression analysis and bayes theorem. The method of data mining has been there for so many centuries and it is used up to date. One must know data mining definition so that he can be in a position to make data. This definition can come in different terms data snooping, data fishing and data dredging all this refer to data mining but it depends in which department one is. It is commonly used in marketing, scientific information and research work, fraud detection and surveillance and many more and most of this work is done using a computer. Data transforms is processed into information and it is mostly used in different ways depending on what information one is extracting and from where the person is extracting the information. It has become very important now days because data that is processed is usually kept for future reference and mainly for security purposes in a company. Data Mining - Retrieving Information From Dataĭata mining definition is the process of retrieving information from data.
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