Search Results - "Statistics and Computing"
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Data Mining: Techniques and Applications in the Manufacturing Industry
Published 2006“…However, data mining is a relatively new field that has emerged as a result of advancements in many different subjects such as statistics and computing and has only recently began to attract the attention it deserves. …”
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Nonnegative polynomial optimization over unit spheres and convex programming relaxations
Published 2012“…Such optimization models have wide applications, e.g., in signal and image processing, high order statistics, and computer vision. Since polynomial functions are nonconvex, the problems under consideration are all NP-hard. …”
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Approximation algorithms for nonnegative polynomial optimization problems over unit spheres
Published 2017“…These optimization problems have wide applications e.g., in signal and image processing, high order statistics, and computer vision. Since these problems are NP-hard, we are interested in studying on approximation algorithms. …”
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Hybrids of Gibbs point process models and their implementation
Published 2013“…We discuss stochastic properties of hybrids, their statistical implications, statistical inference, computational strategies and software implementation in the R package spatstat. …”
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A Review on Data Stream Classification
Published 2018“…At this present time, the significance of data streams cannot be denied as many researchers have placed their focus on the research areas of databases, statistics, and computer science. In fact, data streams refer to some data points sequences that are found in order with the potential to be non-binding, which is generated from the process of generating information in a manner that is not stationary. …”
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A review on data stream classification
Published 2018“…At this present time, the significance of data streams cannot be denied as many researchers have placed their focus on the research areas of databases, statistics, and computer science. In fact, data streams refer to some data points sequences that are found in order with the potential to be non-binding, which is generated from the process of generating information in a manner that is not stationary. …”
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Developing a Gold Price Predictive Analysis using Grey Wolf Optimizer
Published 2016“…As the value of gold cannot be blindly rejected, forecasting the future prices of gold has long been an intriguing topic and is extensively studied by researchers from different fields including economics, statistics, and computer science. The motivation for these studies is naturally to predict the future prices so that gold can be bought and sold at profitable positions and reduce the risk of investment. …”
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Long run impact of share buyback initiation toward the share price of firms listed in Kuala Lumpur stock exchange.
Published 2013“…T -statistic value is computed manually to show the existence of BHAR value. The t-statistic value computed showed that BHAR value is not equal to zero. …”
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Prediction of crack growth propagation of a super alloy through ANN modeling
Published 2015“…Artificial Neural network (ANN) statistical model computed different fracture parameters from experimental inputs by feeding information to the network. …”
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A Literature Review on Gold Price Predictive Techniques
Published 2015“…As the value of gold cannot be blindly rejected, forecasting the future prices of gold has long been an intriguing topic and is extensively studied by researchers from different fields including economics, statistics, and computer science. The motivation for these studies is naturally to predict the future prices so that gold can be bought and sold at profitable positions and reduce the risk of investment. …”
Get full text
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The Factors Impact Information Technology Adoption Among Employees at Tax Authority of Yemen
Published 2010“…Moreover, descriptive statistics was computed to describe the current state of information technology adoption by using tables, charts and graphs to present the findings in an understandable manner. …”
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Evaluation of associative classification-based multifactor dimensionality reduction in the presence of noise
Published 2016“…Identifying the susceptible genes and their interaction effects over the complex traits remains statistically and computationally challenging. An associative classification-based multifactor dimensionality reduction method (MDRAC) was proposed to improve the identification of multi-locus interacting genes associated with a disease. …”
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