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 ...
Agrawal, R., Srikant, R.: Privacy-preserving data mining. In: Chen, W., Naughton, J.F., Bernstein, P.A. (eds.) ACM SIGMOD Conference, pp. 439–450 (2000) Andruszkiewicz, P.: Privacy preserving classification for continuous and nominal attributes. In: Proceedings of the 16th Interna...
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...
journal of global research in computer sciencePujari, Pushpalata. "Classification and Comparative Study of Data Mining Classifiers with Feature Selection on Bionomial Data Set", Journal of Global Research in Computer Science 3.5 (2012): 39-45....
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 ...
Data stream mining has become an important research area over the past decade due to the increasing amount of data available today. Sources from various domains generate a near-limitless volume of data in temporal order. Such data are referred to as data streams, and are generally nonstationary...
Her research interests include learning theory, statistical pattern recognition, neural networks, text filtering and data mining applications. About the Author—ALICIA GUERRERO-CURIESES received the Telecomm Engineer degree from Universidad de Valladolid, Spain in 1998, and the Ph.D. degree from ...
Amin MS, Chiam YK, Varathan KD (2019) Identification of significant features and data mining techniques in predicting heart disease. Telemat Inform 36:82–93. https://doi.org/10.1016/j.tele.2018.11.007 Article MATH Google Scholar Asif S, Khan SUR, Amjad K et al (2024) Skinc-net: an...
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 ...