Effective Semi-supervised Nonlinear Dimensionality Reduction for Wood Defects Recognition
Zhao Zhang, Ning Ye (2010)
Computer Science and Information Systems
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Zhao Zhang, Ning Ye (2010)
Computer Science and Information Systems
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Michał Muszyński, Stanisław Osowski (2014)
International Journal of Applied Mathematics and Computer Science
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Cheng, Miao, Fang, Bin, Tang, Yuan Yan, Wen, Jing (2008)
Mathematical Problems in Engineering
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Liu Bin, Zhang Hui, Liu Sifeng, Dang Yaoguo (2006)
Computer Science and Information Systems
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Y. W. Teh (2004)
Mathware and Soft Computing
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With the availability of very large data storage today, redundant data structures are no longer a big issue. However, an intelligent way of managing materialised projection and selection views that can lead to fast access of data is the central issue dealt with in this paper. A set of implementation steps for the data warehouse administrators or decision makers to improve the response time of queries is also defined. The study concludes that both attributes and tuples, are important...
Sayeed, Shohel, Andrews, S., Besar, Rosli, Kiong, Loo Chu (2007)
Discrete Dynamics in Nature and Society
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Fisher, A.C., Lake, S.P., Cunningham, I.P., Chandna, A. (2010)
Computational & Mathematical Methods in Medicine
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Mou'ath Hourani, Ibrahiem M. M. El Emary (2009)
Computer Science and Information Systems
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Alexandra Carpen-Amarie, Alexandru Costan, Jing Cai, Gabriel Antoniu, Luc Bougé (2011)
International Journal of Applied Mathematics and Computer Science
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Introspection is the prerequisite of autonomic behavior, the first step towards performance improvement and resource usage optimization for large-scale distributed systems. In grid environments, the task of observing the application behavior is assigned to monitoring systems. However, most of them are designed to provide general resource information and do not consider specific information for higher-level services. More precisely, in the context of data-intensive applications, a specific...
Piotr Kulczycki, Szymon Łukasik (2014)
International Journal of Applied Mathematics and Computer Science
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The paper deals with the issue of reducing the dimension and size of a data set (random sample) for exploratory data analysis procedures. The concept of the algorithm investigated here is based on linear transformation to a space of a smaller dimension, while retaining as much as possible the same distances between particular elements. Elements of the transformation matrix are computed using the metaheuristics of parallel fast simulated annealing. Moreover, elimination of or a decrease...
Antonio Ciampi, Ana González Marcos, Manuel Castejón Limas (2005)
SORT
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Correspondence analysis followed by clustering of both rows and columns of a data matrix is proposed as an approach to two-way clustering. The novelty of this contribution consists of: i) proposing a simple method for the selecting of the number of axes; ii) visualizing the data matrix as is done in micro-array analysis; iii) enhancing this representation by emphasizing those variables and those individuals which are 'well represented' in the subspace of the chosen axes. The approach...
Fokoue, Ernest (2014)
Serdica Journal of Computing
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Big data comes in various ways, types, shapes, forms and sizes. Indeed, almost all areas of science, technology, medicine, public health, economics, business, linguistics and social science are bombarded by ever increasing flows of data begging to be analyzed efficiently and effectively. In this paper, we propose a rough idea of a possible taxonomy of big data, along with some of the most commonly used tools for handling each particular category of bigness. The dimensionality p of...