Appellations for Data Mining

As the field grows, more and more people from different domains are involved in data mining. Thus, different appellations appear. My question in this post concerns the term that you use for naming "data mining" in your specific area of research or application.

Note that you can choose several answers at the same time. Another question which is strongly related to the former one concerns the meaning of these terms. For some people these terms have the same meaning, and for others not. So, feel free to comment and give your opinion about the similarity of the meaning of these expressions.

Continue reading... Sphere: Related Content

Data mining definitions

In the literature, the field of data mining can be found under several other terms. Below are examples of definition related to the field of data mining:

• Machine Learning: "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E." (Mitchell, 1997)
  
  
• Exploratory Data Analysis: "A philosophy of data analysis where the researcher examines the data without any pre-conceived ideas in order to discover what the data can tell him about the phenomena being studied." (Martinez and Martinez, 2004)
  
  
• Pattern Recognition: "Statistical pattern recognition is a term used to cover all stages of an investigation from problem formulation and data collection through to discrimination and classification, assessment of results and interpretation." (Webb, 2002)
  
  
• Data Mining: "Data mining is a technology that blends traditional data analysis methods with sophisticated algorithms for processing large volumes of data." (Tan et al., 2006)
  
  
• Knowledge Discovery: "[...] a new generation of techniques and tools with the ability to intelligently and automatically assists humans in analyzing the mountains of data for nuggets of useful knowledge." (Fayyad et al., 1996)
  

Some of these definitions are technical while other are intuitive. Do you have other examples of such definitions or remarks about these ones? Feel free to comment.

Continue reading... Sphere: Related Content