Data Mining – A Short Introduction
methods accessible. Model selection should be based in contrast to the results obtained. When assessing the performance of a particular statistical methods and / or type, all Data mining is an integral part of data analysis that contains a series of activities that take place of ‘meaning’ of the ideas, the ‘analysis’ of data and getting to ‘interpretations’ and ‘evaluation’ of the results.
Objectives Analysis: It is sometimes very difficult to statistically define the phenomena we want to analyze. In fact, business goals are often unclear, but the same can be difficult to formalize.
Collection, grouping and pre-processing of data: Once goals are set and defined analysis, we need to collect or select the data needed for research. At first, it is important to recognize the data source.
Investigation of data analysis and their conversion: This stage includes the initial examination of the available information. It involves an initial assessment of the importance of data collected. An exploratory analysis and / or investigations can highlight irregular data. Exploratory analysis is important because it allows the analyst to choose the most suitable statistical method to the next stage of analysis.
Data analysis was based on the method chosen: After statistical method is chosen, the same must be translated into precise algorithms to work out the results. The range of special software and non-specific are widely available for data mining and therefore are not always required to develop an ad hoc calculation algorithm for the purpose of most ‘standard’. However, it is important that the people managing the data mining methods are very aware and have a good knowledge and understanding of various methods of data analysis and also different software solutions available for the same thing, so they can adapt at the same time and the company’s needs perfectly can interpret the results.
Assessment and contrast the techniques used and the selection of the final model for the analysis: This is the most need to choose the ‘model’ best of the various statistical other dependent and / or the relevant criteria should also be considered.
Explanation of the statistical model chosen and the work in the decision making process: The scope of data mining is not limited to data analysis but also includes the integration of the results so as to facilitate corporate decision-making process.
