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.

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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

Different methods of data collection

Professionals in all areas, the widespread use of job search, if medical education, or production, etc., to conduct a thorough search, you should follow some appropriate action in relation to data collection. Data collection services play an important role in the conduct of research. There are data collected with suitable support.

Types of data
Qualitative data collection, and: The research could be in two basic techniques of data collection, ie dividedquantitative survey. Qualitative data is descriptive and does not contain statistics or numbers. Quantitative data is numerical and involves a lot of numbers and figures. They are classified according to the methods of collection and its properties. The data will be primarily by researchers with no need of pre-designed data collection called primary data. Interviews and questionnaires are usually the primary data / information gathering techniques are. Datacollected by other means, if not for the researchers is unimportant. Census surveys of business and government are examples of collection of secondary information.

Data Collection Tools

Let's see in detail how qualitative techniques for collecting data in research.
Internet Data: there is a massive collection of data, where you get a huge amount of information for research. The researchers note that they depend on reliable sources of accurate information on the Internet.
BooksGuide: This is an authentic traditional technology used in research today.

Observational data: the data collected through observation. Here the data are visiting the site and record details of all this, the researchers observed that must collect to be important for his research.

Personal interviews: the authenticity of the data increases, as you can gather first-hand information. It is not fruitful, when a large number of peoplerespondents.

Questionnaires: Serves best when interviewing a particular class. A questionnaire will be prepared by the researcher according to the necessity of data collection and rescuers.

Group discussion: a technique to consider for the collection of data, where researchers have recorded the details of what people have in a group. This is a conclusion in relation discussed by the group, including discussion on research topics.

Using experiments: To get the complete understandingThe researchers in the field of real experiments used primarily in manufacturing and science. We need a deeper understanding of the research topic to get.

The data collection services using many techniques, including the aforementioned collection. These techniques are useful for researchers in the creation of conceptual and statistical statements. To obtain accurate data for researchers to combine two or more of the techniques of data collection.

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Different methods of data collection