数据挖掘-----外文翻译.docVIP

Data Mining Mehmed Kantardzic J. B. Speed Scientific School, University of Louisville IEEE Computer society, Sponser IEEE IEEE Press WILEY-INTERSCIENCE A JOHN WILEY SONS, INC., PUBLICATION Copyright ? 2003 The Institute of Electrical and Electronics Engineers, Inc. ABSTRACT The modern technologies of computers, networks, and sensors have made data collection and organization an almost effortless task. However, the captured data needs to be converted into information and knowledge from recorded data to become useful. Data mining is the entire process of applying computer-based methodology, including new techniques for knowledge discovery, from data. Keywords Data mining 1.1 INTRODUCTION Modern science and engineering are based on using first-principle models to describe physical, biological, and social systems. Such an approach starts with a basic scientific model, such as Newtons laws of motion or Maxwells equations in electromagnetism, and then builds upon them various applications in mechanical engineering or electrical engineering. In this approach, experimental data are used to verify the underlying first-principle models and to estimate some of the parameters that are difficult or sometimes impossible to measure directly. However, in many domains the underlying first principles are unknown, or the systems under study are too complex to be mathematically formalized. With the growing use of computers, there is a great amount of data being generated by such systems. In the absence of first-principle models, such readily available data can be used to derive models by estimating useful relationships between a systems variables (i.e., un-known input—output dependencies). Thus there is currently a paradigm shift from classical modeling and analyses based on first principles to developing models and the corresponding analyses directly from data. The need to understand large, complex, information-rich data sets is common to virtually all fields of business, scienc