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Approximation to expected support of frequent itemsets in mining probabilistic sets of uncertain data
(Elsevier, 2015)
Knowledge discovery and data mining generally discovers implicit, previously unknown, and useful knowledge from data. As one of the popular knowledge discovery and data mining tasks, frequent itemset mining, in particular, ...
Performance of Marine Kinetic Turbine in the Wake
(2013)
Unlike the uniform and low turbulence conditions of flow in water tunnels and towing tanks, flow in rivers, channels and oceans is highly turbulent and non-uniform due to the eddies with size that exceeds the diameter of ...
Edge-based mining of frequent subgraphs from graph streams
(Elsevier, 2015)
In the current era of Big data, high volumes of valuable data can be generated at a high velocity from high-varieties of data sources in various real-life applications ranging from sensor networks to social networks, from ...
Similarities of frequent following patterns and social entities
(Elsevier, 2015)
Social network sites such as Twitter and Facebook are used for sharing knowledge and information among users. As social networks grow larger, it becomes difficult for a user to find frequently followed group of social ...
Targeting the Mevalonate Cascade as a New Therapeutic Approach in Heart Disease, Cancer and Pulmonary Disease
(Elsevier, 2014-02-26)
The cholesterol biosynthesis pathway, also known as the mevalonate (MVA) pathway, is an essential cellular pathway that is involved in diverse cell functions. The enzyme 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) ...
Evaluating Disability Management in the Manitoban Construction Industry for Injured Workers Returning to the Workplace with a Disability
(NRC Research Press, 2016)
The poor safety record of the construction industry raises concerns about the extent to which it is able to integrate workers disabled as a result of a workplace injury back to the workplace. A review of the literature ...
Frequent subgraph mining from streams of linked graph structured data
(CEUR Workshop Proceedings, 2015)
Nowadays, high volumes of high-value data (e.g., semantic web data) can be generated and published at a high velocity. A collection of these data can be viewed as a big, interlinked, dynamic graph structure of linked ...
A data analytic algorithm for managing, querying, and processing uncertain big data in cloud environments
(MDPI, 2015-12)
Big data are everywhere as high volumes of varieties of valuable precise and uncertain data can be easily collected or generated at high velocity in various real-life applications. Embedded in these big data are rich sets ...
Older driver estimates of driving exposure compared to in-vehicle data in the Candrive II study
(Taylor and Francis, 2015-01)
OBJECTIVE: Most studies on older adults' driving practices have relied on self-reported information. With technological advances it is now possible to objectively measure the everyday driving of older adults in their own ...
Collagen morphology and texture analysis: from statistics to classification
(Nature, 2013-07-12)
In this study we present an image analysis methodology capable of quantifying morphological changes in tissue collagen fibril organization caused by pathological conditions. Texture analysis based on first-order statistics ...