Overview of different approaches to solving problems of Data Mining

This paper is devoted to the main tasks in the analysis of large amounts of information and comparison of methods for their solution. The analysis of large volumes of information and identification of valuable knowledge provided by Data Mining tools. The concept of Data Mining is translated as data mining, data analysis, data collection. Due to of the huge variety of data types and forms of organizing information actual data may not always be analyzed by machine learning tools. For the transformation of "raw" data to the data, which can work efficiently Data Mining techniques, solve the problem of pre-processing. The methods k-nearest neighbor and decision trees solve such problems as the Data Mining classification and regression in the specified domains.