A survey of data mining techniques

Details A survey of data mining techniques A survey of data mining techniques

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmsm11a..02j&link_type=abstract

American Geophysical Union, Fall Meeting 2005, abstract #SM11A-02

Physics

Geophysics

2722 Forecasting (7924, 7964), 2753 Numerical Modeling, 2794 Instruments And Techniques, 3200 Mathematical Geophysics (0500, 4400, 7833), 9820 Techniques Applicable In Three Or More Fields

Scientific paper

Data mining is the act of extracting useful knowledge from a data set. This knowledge can take many forms. It can be in the detection of features of interest. It can be in the form of statistical analysis of data sets. It can be in the form of predictive expressions describing the data or relationships between data. It can be in the form of anomaly detection, serendipitous events which require further investigation. The simplest form of data mining consists of manual inspection of the data sets. This has been the norm in space physics for decades. The most advanced forms of data mining make use of emerging computer science methods, including advances in artificial intelligence. In this presentation we will give a brief introduction to some of the resources that are available for performing advanced data mining. We will focus on giving an overview of some data mining techniques, and how they have been, or could be, applied to space physics problems.

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