منابع مشابه
Data mining with Support Vector Machine
Machine Learning is considered as a subfield of Artificial Intelligence and it is concerned with the development of techniques and methods which enable the computer to learn. In this paper introduce SVM. It is techniques and methodologies developed for machine learning tasks Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. S...
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The web contains rich and dynamic collections of hyperlink information, web page access, and usage information providing rich sources for data mining. From this, we need a system to recommend a visitor good information. This recommendation system can be constructed by web usage mining process. The web usage mining mines web log records to discover user access patterns of web pages. Also it is t...
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To prospect mineral deposits at regional scale, recognition and classification of hydrothermal alteration zones using remote sensing data is a popular strategy. Due to the large number of spectral bands, classification of the hyperspectral data may be negatively affected by the Hughes phenomenon. A practical way to handle the Hughes problem is preparing a lot of training samples until the size ...
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Multivariate data analysis techniques have the potential to improve data analysis. Support Vector Machines (SVS) are a recent addition to the family of multivariate data analysis. A brief introduction to the SVM Vector Machines technique is followed by an outline of the practical application Key-Words: SVM vector machines, data analysis
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ژورنال
عنوان ژورنال: Journal of Korean Institute of Intelligent Systems
سال: 2005
ISSN: 1976-9172
DOI: 10.5391/jkiis.2005.15.3.312