1,401 research outputs found
Efficient Processing of k Nearest Neighbor Joins using MapReduce
k nearest neighbor join (kNN join), designed to find k nearest neighbors from
a dataset S for every object in another dataset R, is a primitive operation
widely adopted by many data mining applications. As a combination of the k
nearest neighbor query and the join operation, kNN join is an expensive
operation. Given the increasing volume of data, it is difficult to perform a
kNN join on a centralized machine efficiently. In this paper, we investigate
how to perform kNN join using MapReduce which is a well-accepted framework for
data-intensive applications over clusters of computers. In brief, the mappers
cluster objects into groups; the reducers perform the kNN join on each group of
objects separately. We design an effective mapping mechanism that exploits
pruning rules for distance filtering, and hence reduces both the shuffling and
computational costs. To reduce the shuffling cost, we propose two approximate
algorithms to minimize the number of replicas. Extensive experiments on our
in-house cluster demonstrate that our proposed methods are efficient, robust
and scalable.Comment: VLDB201
EFFECTS OF EXERCISE FATIGUE ON PLANTAR PRESSURE IN BADMINTON : A EXPLORATORY STUDY
The purpose of present study was to evaluate the effect of exercise fatigue on plantar pressure in badminton. One badminton athlete volunteer without any injury or disease in the latest 3 months attended this study. Peak pressure(PP) and integration of pressure and duration(Pt) of pelma pre- and post-fatigue were measured. Results show that PP of heel was the highest. After fatigue, the PP of heel and Pt of metatarsal were increased significantly, and the Pt of heel was decreased significantly. In badminton training, it's necessary to enhance muscular strength and arrange training intensity for individual. More and deeply biomechanical research should be done to lessen pain and injury
Just Looking: Tourist Gaze and the Theme Park Experience
What makes a memorable theme park experience? New research led by UCF Rosen College of Hospitality Management\u27s Assistant Professor Wei Wei looks at how visitor experience is influenced by the \u27tourist gaze\u27—the consumption of visual experiences, as well as other services, in a tourism destination. With important implications for theme park operators and managers, the study focuses on visitors\u27 visual interactions with fellow visitors and finds they have a significant impact on visitors\u27 emotions and the quality of their overall experience
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