نتایج جستجو برای: continuous data

تعداد نتایج: 2612678  

J. A. Zakeri and F. J. Jie,

Continuous welded turnouts are important for CWR track through the railway station. According to equivalent resistance and non-linear theories and the principle of force diagram, a new method of theoretical calculation for continuous welded turnouts was developed. The continuous welded turnouts designed and installed according to the new theory behaved fairly well. The data collected on sites b...

2000
Alan Wrench Korin Richmond

In this paper we show that there is measurable information in the articulatory system which can help to disambiguate the acoustic signal. We measure directly the movement of the lips, tongue, jaw, velum and larynx and parameterise this articulatory feature space using principal components analysis. The parameterisation is developed and evaluated using a speaker dependent phone recognition task ...

2005
P. Veres I. Horváth L. G. Balázs

— The CGRO/BATSE database includes many types of data such as the 16-channel continuous background or medium energy resolution burst data (CONT and MER data types). We have calculated some four hundred burst's medium energy resolution spectra and Principal Component Analysis has been applied. We found five components can describe GRBs' spectra. In the process of understanding the internal mecha...

2012
Piotr Fulmański Alicja Miniak-Górecka

In this paper, a method for calculating the importance factor of continuous features from a given set of patterns is presented. A real problem in many practical cases, like medical data, is to find which parts of patterns are crucial for correct classification. This leads to the need of preprocessing all data, which has influence on both time and accuracy of applied methods (when unimportant da...

2014
Thanh Thi Lac Tran THANH T. L. TRAN Jim Kurose Anna Liu Andrew McGregor Prashant Shenoy Gerome Miklau

HIGH-PERFORMANCE PROCESSING OF CONTINUOUS UNCERTAIN DATA MAY 2013 THANH T. L. TRAN B.E., UNIVERSITY OF MELBOURNE M.S., UNIVERSITY OF MASSACHUSETTS AMHERST Ph.D., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Yanlei Diao Uncertain data has arisen in a growing number of applications such as sensor networks, RFID systems, weather radar networks, and digital sky surveys. The fact that ...

2008
Hong Kyu Park Won Suk Lee

Query processing for data streams should be continuous and rapid, which requires strict time constraint. In most previous researches, in order to guarantee this constraint, the evaluation order of join predicates in a continuous query is optimized by a greedy. However, the greedy strategy traces only the first promising plan, so that it often finds a sub-optimal plan. This paper proposes an imp...

2011
Irina Diana Coman Alberto Sillitti Giancarlo Succi

Automated In-process Software Engineering Measurement and Analysis (AISEMA) systems are powerful tools to monitor and improve the software development process. However, to be useful, it is required that such tools never stop working. Therefore, they need the support of advanced monitoring systems able to detect and locate malfunctions and inform automatically human operators providing all the i...

2001
Richard J. Bolton David J. Hand

In this paper we consider the question of uncertainty of detected patterns in data mining. In particular, we develop statistical tests for patterns found in continuous data, indicating the significance of these patterns in terms of the probability that they have occurred by chance. We examine the performance of these tests on patterns detected in several large data sets, including a data set de...

Journal: :IEEE Data Eng. Bull. 2016
Ihab F. Ilyas

Enterprises have been acquiring large amounts of data from a variety of sources to build their own “Data Lakes”, with the goal of enriching their data asset and enabling richer and more informed analytics. The pace of the acquisition and the variety of the data sources make it impossible to clean this data as it arrives. This new reality has made data cleaning a continuous process and a part of...

2004
Taher Omran Ahmed Maryvonne Miquel Robert Laurini

The multidimensional structures or hypercubes are commonly used in OLAP (On Line Analytical Processing) to store and organize the data with the goal of optimizing query response time. The multidimensional approach is based on the concept of facts or measures analyzed with respect to various prospects or dimensions to facilitate the decision making process. Dimensions can be seen as axis of anal...

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