Titlebook: Advances on Data Mining: Applications and Theoretical Aspects; 11th Industrial Conf Petra Perner Conference proceedings 2011 Springer-Verla

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https://doi.org/10.1007/978-1-4613-2737-0ogy selection is a key factor in the growth of an organization and a fundamental challenge is effectively managing the computation of data to support future decision-making. Classification is a data mining technique used to predict group membership for data instances. Popular methods include decisio

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Clayton D. Wood,Philip E. Garrourm a holistic view of the dataset. Unfortunately, it can be challenging to manage the resulting large graph and use it during data analysis. To facilitate managing and operating on graphs, the Core-Facets model offers a framework for graph-based data warehousing. The Core-Facets model builds a heter

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SUGAR

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Catalysts for Nitrogen Fixationruction. The proposed step could greatly low the computational cost and is promising fast applications, such as on-line data mining. Experimental results on both synthetic and real benchmarks data sets have shown that the improvements achieved better performance.

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Catalytic Oxidation of Alcohols with O2,tion strategy, . reduces significantly the number of times of data acquisition and model building. This would significantly reduce the total cost of misclassification, data acquisition arrangement, computation, and examples acquired costs.

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Catalytic Oxidation of Phenols,frequently utilized in data mining tools. The choice of the algorithm depends on the intended use of extracted knowledge.In this paper, the mentioned algorithms are unified into a tool, called Unified Medical Data Miner (UMDM) that will enable prediction, classification, interpretation and visualiza

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Peter Eilbracht,Axel M. Schmidtpatial clustering with a constraint of keeping the resulting clusters spatially mostly contiguous..This article presents a novel approach tailored to the specifics of the available data, which do not allow for using an existing algorithm. A variant of hierarchical agglomerative clustering will be pr

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Klaus-Diether Wiese,Dietmar Obstost GPS receivers; and (.) determine which types of activities can be classified, and what robustness to expect within the different classes. To provide data for this study low-cost GPS receivers were mounted on 14 dairy cows on grass for a day while they were observed from a distance and their acti