Hepatitis viruses are the most common cause of hepatitis in the world but other infections, toxic substances(e.g. alcohol, certain drugs), and autoimmune diseases can also cause hepatitis. Data mining is an effective tool to diagnosehepatitis and to predict result. This paper review the many ...
Decision trees approach is one of the popular approaches for representing classifiers in data mining. This paper highlights features of current methods for constructing decision tree classifiers. It describes design issues, provides desirable features for a good classifier, summarizes the current approaches...
We discuss why C5 outperforms the other classifiers and identify ways in which XCS could be adapted to make it more suitable for data mining. 展开 关键词: data mining decision trees forestry learning (artificial intelligence learning systems neural nets support vector machines C5 decision trees ...
Classification and comparative study of data mining classifiers with feature selection on binomial data set. Journal of Global Research in Computer Science, 3(5), 39-45.Pushpalata Pujari " Classification and comparative study of data mining classifiers with feature selection on binomial data set" ...
In data mining approaches, predictive classification has a wide range of application. However, there are always missing data in the datasets, which affect the accuracy of classifiers. This paper investigates the influence of missing data to classifier. The sensitivity analysis of six classifiers to ...
Pruning Meta-Classifiers in a Distributed Data Mining System is a powerful and portable agent-based distributed data mining system that employs metalearning techniques to integrate a number of independent classifiers... AL Prodromidis,SJ Stolfo - National Conference on New Information Technologies 被引...
This work studies the effectiveness of Rule-Based classifiers for classification by taking a sample data set from UCI machine learning repository using the open source machine learning tool. A comparison of different rule-based classifiers used in Data Mining and a practical guideline for selecting ...
This can be done by comparing selected facial characteri stics of the likeness and a facial database. The difficulties of face recognition arising from face characteristics, geometry, image quality and image content. In this paper there are different da ta mining classifiers are used for face ...
n.(汉语等中的)量词;【矿】分级机;分类者;【化】分粒器 网络分类器;分类分析;分类词 英汉 网络释义 n. 1. (汉语等中的)量词 2. 【矿】分级机 3. 分类者 4. 【化】分粒器 释义: 全部,量词,分级机,分类者,分粒器,分类器,分类分析,分类词...
Technical data mining with evolutionary radial basis function classifiers. Ap- plied Soft Computing, 9(2):765-774, March 2009.M. Bauer, O. Buchtala, T. Horeis, R. Kern, B. Sick, R. Wagner, Technical data mining with evolutionary radial basis function classifiers, Appl. Soft Comput. 9 ...