Data Mining - Techniques and methods of mining

Data Mining as the name suggests, is to extract data information from a rich source of information. It 'like a drop of separation from the sea. Here, a drop is the most important information essential to your business, and the ocean is a huge database built by you.

Recognized in Business

Data Collection Tools

The companies have become creative with the multiplication of patterns and trends and patterns through data mining or automated statistical analysis. Once the desiredInformation from the huge database could be used for various applications found. If you want to be involved in other aspects of your business, you should get the help of professional services in the mining sector

Collection of data

Data collection is the first step towards a constructive program of data mining is required. Almost all companies need to collect data. And 'the process of searching for information relevant to your company, filtering and preparingfor a process of outsourcing of data mining. Follow signs for those who have already experienced, customer data in a database management system, have probably reached their destination.

Selection algorithm

You can select one or more data mining algorithms to solve the problem. You already have the database. You can experiment with different techniques. The choice of algorithm depends on the problem that is resolved, the data collected, as well as the tools that youto possess.

Regression Technique

The well-known, oldest and statistical methods for data mining is used for regression. With the help of a set of numerical data, it then developed a mathematical formula to the data. Here, take your new and existing data to use the mathematical formula that you developed and you will get a prediction of future behavior. Now do not use enough. You need to know their limitations associated with it. This technique works bestwith continuous quantitative data such as age, weight or speed. While working on categorical data such as sex, name or color, although not significantly better is another technique.

Technical classification

There is another technique, known as technical analysis of classification that is suitable for categorical data and a mixture of categorical and numerical data. Compared to regression, classification technology can process a wider range of data andIt is therefore very popular. Here you can easily interpret the output. Here you get a decision tree that contains a series of binary decisions.

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Data Mining - Techniques and methods of mining