Data Mining Techniques Based on Grey System Theories for Time Sequence Data
Liu Bin, Zhang Hui, Liu Sifeng, Dang Yaoguo (2006)
Computer Science and Information Systems
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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...
B. Sundgren (1995)
Qüestiió
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Trifonov, Tihomir, Georgieva-Trifonova, Tsvetanka (2012)
Union of Bulgarian Mathematicians
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Тихомир Трифонов, Цветанка Георгиева-Трифонова - В настоящата статия е представена системата bgBell/OLAP за складиране и онлайн аналитична обработка на данни за уникални български камбани. Реализираната система предоставя възможност за извеждане на обобщени справки и анализиране на различни характеристики на камбаните, за да се извлече предварително неизвестна и потенциално полезна информация. In this paper, the system bgBell/OLAP for warehousing and online analytical processing...
Kerui Chen, Wanli Zuo, Fengling He, Yongheng Chen, Ying Wang (2011)
Computer Science and Information Systems
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Greydon Buckley, Jozo Dujmović (2008)
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...
Ammar Shaker, Eyke Hüllermeier (2014)
International Journal of Applied Mathematics and Computer Science
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In this paper, we introduce a method for survival analysis on data streams. Survival analysis (also known as event history analysis) is an established statistical method for the study of temporal “events” or, more specifically, questions regarding the temporal distribution of the occurrence of events and their dependence on covariates of the data sources. To make this method applicable in the setting of data streams, we propose an adaptive variant of a model that is closely related to...
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...
Roy Ladner, Frederick Petry, Elizabeth Warner, Kaylan Gupta (2006)
Control and Cybernetics
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