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...
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" ...
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 ...
Data mining is one of the domains where ACO has been applied successfully and provided scalable solutions. In this paper, we describe a knowledge discovery classification technique based on ACO. AntMiner, first proposed in [5], is a rule induction algorithm that occupies collective intelligence to...
Nowadays, the capability to collect data has been expanded enormously and provides enterprises huge amount of data. The interesting knowledge or the high-valued information about the customer can be extracted by data mining. By following the market segmentation strategy, an enterprise could increase ...
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 ...
In: Słowiński, R. (ed.) Intelligent Decision Support. Handbook of Applications and Advances of the Rough Sets Theory, pp. 311–362. Kluwer, Dordrecht (1992) Google Scholar Nguyen, S.H.: Regularity analysis and its applications in Data Mining. In: Polkowski, L., Tsumoto, S., Lin,...
Anjum, Shahid (2014a), "Composite Indicators for Data Mining: A New Framework for Assessment of Prediction Classifiers", Journal of Economics, Business and Management (JOEBM), Vol. 2, No. 1, FebruaryComposite indicators for data mining:A new framework for assessment of prediction classifiers. ...
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 ...