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The Application of Data Mining Technology to Big Data
22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 2017The purpose of data mining is to explore, find and hence analyze relevant data from a massive data source using various technical means. This paper introduces the development of data mining to date, its functions, tasks and algorithms, as well as the process of data mining.
Jinlong Wang +4 more
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A Geometorical Data Application of the Cellular Data System
2012 International Conference on Cyberworlds, 2012In this gcloudh computing era, various kinds of values are being created in cyber worlds at every moment, causing the worlds to become increasing complex and making it difficult for us to recognize the whole. Consequently, we need a more powerful mathematical background that can accurately model the cyber worlds in the gcloudh as they are.
Toshio Kodama +2 more
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Visual Data Mining of Application Services Data
Tenth International Conference on Information Visualisation (IV'06), 2006Many network monitoring tools do not provide sufficiently in-depth and useful reports on network usage, particularly in the domain of application services data. Application services form an integral part of organizational networks. The optimization of the performance of these networks is only possible if the networks are effectively monitored ...
Ronald Knoetze +2 more
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Data Quality Management for Big Data Applications
2019 12th International Conference on Developments in eSystems Engineering (DeSE), 2019Currently, as a result of the continuous increase of data, one of the key issues is the development of systems and applications to deal with storage, management and processing of big numbers of data. These data are found in unstructured ways. Data management with traditional approaches is inappropriate because of the large and complex data sizes ...
Majida Yaseen Khaleel, Murtadha M. Hamad
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The Application of Data Cubes in Business Data Visualization
Computing in Science & Engineering, 2012Data cubes are used in online analytical processing (OLAP) systems to support decision making. Constructed from base business data, this interactive visualization system introduces a conditional 1D cuboid hierarchical tree structure to represent data cubes and use 2D graphical icons to illustrate data elements.
Xusheng Wang, Beifang Yi
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Data confidentiality challenges in big data applications
2015 IEEE International Conference on Big Data (Big Data), 2015In this paper, we address the problem of data confidentiality in big data analytics. In many fields, much useful patterns can be extracted by applying machine learning techniques to big data. However, data confidentiality must be protected. In many scenarios, data confidentiality could well be a prerequisite for data to be shared.
Jian Yin 0002, Dongfang Zhao 0001
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Application of Data Mining in the Financial Data Forecasting
2008A method of processing financial data based on wavelet transformation is presented. The data of the financial is essentially an unfixed time sequence. Based on the wavelet transform, the series obtained after decomposition contains information. Basically, the wavelet decomposition uses a pair of filters to decompose iteratively the original time series.
Jie Wang 0045, Hong Wang
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Field Applicability of MASW Data
Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008, 2008One-dimensional multi-spectral analyses of surface waves (MASW) are used to predict subsurface shear-wave interval velocities. Shear wave velocities can also extract additional velocity-related information such as mechanical properties of soils and rocks.
Peter J. Hutchinson +3 more
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Data envelopment analysis with heterogeneous data: an application
Journal of the Operational Research Society, 2005Summary: The effects of data heterogeneity on the efficiency estimate by data envelopment analysis are evaluated here in terms of empirical applications in the computer industry. Scale or size variations of firms and heteroscedasticity are the two forms of heterogeneity considered here.
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A data manager for engineering applications
Journal of Computer Science and Technology, 1993Efficient data management is crucial to the success of a CAD/CAM system. Traditional database systems, designed to deal with only regular and structural data, cannot efficiently manage design data. In this paper, we present a data manager called EDBMS/2, which has been developed by our laboratory for engineering support applications. EDBMS/2 has a data
Weidong Zheng, Zongkai Lin, Yuchai Guo
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