文章基本信息

标题：Decision Trees to Distribution-Based Approach
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作者：P. Anil Kumar ; Lakshmi Ramani Burra ; Praveen Tumuluru 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：4
页码：291-294
语种：English
出版社：Ayushmaan Technologies
摘要：Medical database contains huge volume of data, mostly in the form of digital medical images. Digital medical images such as X-Rays, MRI, CT is extensively used in diagnosis and planning intervention schedule. Large medical institutions produce Gbit of image data every month. For effective utilization of medical images from the archives for diagnosis, research and educational purpose, efficient image retrieval system is essential. Image retrieval systems extract features in the image to a feature vector and use similarity measures for retrieval of images. Thus the efficiency of the image retrieval system depends upon the feature selection and its categorizations. In this paper, a novel feature selection mechanism using Discrete Sine Transforms (DST) is proposing to implement and with Information Gain for feature reducing.
关键词：Uncertain Data;Decision Tree;Data Mining;Classification