Data mining Research Paper Example | Topics and Well Written Essays - 4250 words

selective information dig - Research Paper ExampleOne of the historied differences that is there between entropy mining and infobases is the fact that in infobases, stored facts argon retrieved from the information store opus in data mining patterns are analyzed so that new patterns that have been previously noncitizen can be got. Data mining is done using data that have been stored, otherwise cognize as static data, while database use data which are n operation and which are updated regularly. Data mining use data which have been got at a given instance. One thing that is price noting is that data mining has its origins in statistics rather than computer science. Although many concepts are derived from computer science, it has been argued that it shows many characteristics and has been from statistics and overly has been derived from statistical urge to derive patterns which have been unknown in the past. Data mining components Data mining entails storing and managing dat a in a multi-dimensional database. A multi-dimensional database is perfected for use in data warehouse. It is also effective in online analytical processing (OLAP). An OLAP is a solution for giving businesses superior techniques for visualizing business metrics from contrasting points of view. Data must be make in a way that will allow for optimized interrogation into the data. Data mining is the process of sorting through a collection of data for the purpose of identifying patterns and using the patterns to establish relationships. With competition going tighter, organizations are becoming more sensitive to how they handle the patterns they look at from the behaviour of their clients. These patterns can be used for the benefit of an organization. Many of the decision making process today are based on pattern that is got from the data (Han, Kamber, Pei, 2011). For effective data mining, data must be stored, organized and managed using the latest tools. This will allow users to ask leading questions that will aid in making decisions. In managing data in a multidimensional environment, the intention is to b able to process data very quickly and get answers using the shortest time possible. This is the main gist of data mining. With this, it is possible to get facts that will lead to better decision-making. The speed is achieved by organizing data into data cubes this shows the dimensions that are available to the user. The data will have various attributes that are associated with it. The attributes are created depending on the requirements that are required of the data. In data mining, it is serious to get some pattern from the information that has been gathered (Han, Kamber, Pei, 2011). Data management is the process where important information is organized in such a way that it is easy to get some practice and convention that is happening. Forms of data mining There are many forms of data mining. Two popular forms of data mining are class description and class discrimination. The former, class description, entails features that expose some hidden characteristics in a given collection of data. An example is that there could be a need to find pop out the patterns and the characteristics of people who buy low-end vehicles. There could be some characteristics of these people from the other people who buy valuable vehicles. On the other hand, class discrimination entails looking for features that separates two sets of objects. One example that can be given to show this is the characteristi