The prediction of the occurrence of heart disease in the medical area is an important task. Algorithm of data mining are very helpful in the detection of Cardiovascular disease. In this paper, a survey has been provided for data mining classification techniques, in which health professionals have...
Kukar, M.: Quality assessment of individual classifications in machine learning and data mining. Knowledge Information Systems 9(3), 364–384 (2006)Kukar M (2006). Quality assessment of individual classifications in machine learning and data mining. Knowl Info Syst 9(3): 364–384...
Peculiarity-oriented mining is a data mining method consisting of peculiar data identification and peculiar data analysis. Peculiarity factor and local peculiarity factor are important concepts employed to describe the peculiarity of a data point in the identification step. One can study the notions at...
Principles of Data Mining and Knowledge Discovery, PKDD 2001, Springer (2001), pp. 253-265 CrossrefGoogle Scholar [17] L. Jost Entropy and diversity Oikos, 113 (2) (2006), pp. 363-375 CrossrefView in ScopusGoogle Scholar [18] W.W. Li, Z.Q. Huang, X.Y. Jia, X.Y. Cai Neighbo...
The amount of freely available human phenotypic data is increasing daily, and yet little is known about the types of inferences or identifying characteristics that could reasonably be drawn from that data using new statistical methods. One data type of p
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Accurate mapping of marine species and habitats is an important yet challenging component of establishing networks of representative marine protected areas. Due to limited biological data, marine classifications based on abiotic data are often used as surrogates to represent biological patterns. We tested...
However, few studies have focused on the IM of the different subtypes of GA15; to the best of our knowledge, there is still no research on IM in GAPEP. Hence, we collected data from gastric cancer patients to determine the characteristics of SM types and explore potential treatment ...
Such systems support a proactive maintenance strategy by continuously monitoring the components of interest and predicting their failures sufficiently in advance to avoid disruptions during operation. Recent research demonstrated the potential of a comprehensive data mining methodology for building prognostic ...
In general terms, based on the sample size and the type of data, one can choose any of the four alternatives. Relying on Gooskens and Heeringa (2004), the Weighted Average method was applied to the selected Ethiosemitic languages. Clustering can sometimes be tricky - a small variance in a...