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From Data to Knowledge: Data Mining

From Data to Knowledge: Data Mining

Tri Wijaya
Copyright: © 2013 |Pages: 13
ISBN13: 9781466624559|ISBN10: 1466624558|EISBN13: 9781466624566
DOI: 10.4018/978-1-4666-2455-9.ch059
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MLA

Wijaya, Tri. "From Data to Knowledge: Data Mining." Data Mining: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 1150-1162. https://doi.org/10.4018/978-1-4666-2455-9.ch059

APA

Wijaya, T. (2013). From Data to Knowledge: Data Mining. In I. Management Association (Ed.), Data Mining: Concepts, Methodologies, Tools, and Applications (pp. 1150-1162). IGI Global. https://doi.org/10.4018/978-1-4666-2455-9.ch059

Chicago

Wijaya, Tri. "From Data to Knowledge: Data Mining." In Data Mining: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1150-1162. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2455-9.ch059

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Abstract

This chapter will discuss a very useful technique to get (or to mine) a hidden information or knowledge which is lie in our data namely, data mining, which is a powerful and automatic (or semi-automatic) technique. Not only about the concept and theory, this chapter will also discuss about the application and implementation of data mining. Firstly, the authors will talk about data, information, and knowledge, whether they are different or not. After understand the term, they will discuss about what data mining is and what the importance of it. Second, they describe the process of gaining the hidden knowledge, how it is done, from the beginning until presenting the result. The authors will go through it step by step. In the next section, they will discuss about the several different tasks of data mining. In addition, to get a better understanding, the authors will compare data mining with other terminology which closely related so called data warehouse, and OLAP. For the last, but not the least, as stated before, this chapter will tell us about the real implementation of data mining in several different areas.

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