New Implementations of Data Mining in a Plethora of Human Activities

Abstract

The fast growth of the societies along with the development and use of the technology, due to this at the moment have much information which can be analyzed in the search of relevant informationto make predictions or decision making. Knowledge Discovery and Data Mining are powerful data analysis tools. The term Data mining is used to describe the non-trivial extraction of implicit, Data Mining is a discovery process in large and complex data set, refers to extracting knowledge from data bases. Data mining is a multidisciplinary field with many techniques. Whit this techniques you can create a mining model that describe the data that you will use (Ponce et al., 2009a). Typical Data Mining techniques include clustering, association rule mining, classification, and regression. We show an overview of some algorithms that used the data mining to solve problems that arisen from the human activities like: Electrical Power Design, Trash Collectors Routes, Frauds in Saving Houses, Vehicle Routing Problem. One of the reasons why the Data Mining techniques are widely used is that there is a need to transform a large amount of data on information and knowledge useful. Having a large amount of data and not have tools that can process a phenomenon has been described as rich in data but poverty in information (Han & Kamber, 2006). This steady growth of data, which is stored in large databases, has exceeded the ability of human beings to understand. Moreover, various problems they might present a constant stream of data, which may be more difficult to analyze the power of information.