What is the visualization of data mining?
Data mining is an act of extracting important data from a large amount of information. In most cases, the aim of data mining is to discover new information on the subject from existing data. This process often requires experts to pair data sets and perceive information from new perspectives. A professional that practices data mining visualization uses graphs, graphs and other visual formats to transmit information extracted by the data mining process.
Many experts believe that there are two important factors that can affect the success of the project visualization of data mining: clarity and aesthetic attraction. Visualization of data mining is effective when transmitting relevant information and the required message. This means that visualization should represent complex information in a clear and simplified way.
aesthetics is also important in data visualization. Many experts believe that effective visualization may not be boring. On the contrary, Occupials can use colors, shapes and textures that create a appearanceIvou presentation. These programs are often designed for a specific industry. For example, an engineer may require visualization software that allows him to extract data from sets on material properties. The engineer could then create three -dimensional illustrations representative of the material.
Financial experts can use visualization software for data mining that allows them to organize market behavior. They can extract data from different periods and markets and create graphs that show trends and economic indicators. Managers and managers can use this information to reduce the risk and increase trust in investors and shareholders.
Information technology (IT) Professionals and web develops the use of minorizualization data. Programming languages are often visualized to offer programmers clear illustrations of how different commands interact. Web designers inThey Yet Graphs that illustrate complex hyperlink networks.
Many maps used in the geographical, sociological and political context are the results of data mining visualization. Maps that illustrate factors such as employment or population growth are often generated on visualization software. Political analysts can use these maps to influence citizens' opinions or to transmit important data to colleagues and employees.
Experts specializing in optimizing data mining systems, categorizing different methods of visualization. For example, some methods are most effective when used to ensure the transparency of the process. Some users may prefer methods that can provide an overview of the process or study, while others may prefer visualization methods that provide detailed illustrations. Convergent thinking and divergent thinking are other aspects of a set of data that experts illustrate through visualiData ZaCe.