The primary thrust of this work is to demonstrate the applicability of association rule mining in public health domain, focusing on physical activity and exercising. In this paper, the concept of association rule mining is shown assisting to promote the physical exercise as regular human activity. Specifically, similar to the prototypical example of association rule mining, market basket analysis, our proposed novel approach considers two events – exercise (sporadic) and sleep (regular) as the two items of the frequent set; and associating the former, exercise event, with latter, the daily occurring activity sleep at night, helps strengthening the frequency of the exercise patterns. The regularity can further be enhanced, if the exercising ...
The inter-relationship between physical activity, sedentary behaviour and sleep (collectively defin...
Association rule mining is a popular technique used to find associations between attributes in a dat...
With the development of wearable and mobile computing technology, more and more people start using s...
AbstractThe primary thrust of this work is to demonstrate the applicability of association rule mini...
The primary thrust of this work is to demonstrate the applicability of association rule mining in pu...
Identifying suitable physical activities is crucial for personal health management. However, a big c...
Measurements of physical activity taken in a valid and reliable way are essential in characterizing ...
Abstract Purpose: A data mining approach was applied to establish a multilevel hierarchy predicting...
The physical fitness of college students can be evaluated scientifically based on the data of physic...
It is currently difficult to have a global state of the art vision of certain scientific topics. In ...
In the past decades, activity recognition has aroused a great interest for the research groups major...
Low levels of Physical Activity (PA) and sedentarism are associated with the onset of different path...
Adult physical activity is important for prevention of chronic diseases and to minimize health issue...
This chapter presents the benefits of exercise benefits. Stronger exercise habit is beneficial becau...
Data mining is an important feature for making association rules among the greatest scope of item se...
The inter-relationship between physical activity, sedentary behaviour and sleep (collectively defin...
Association rule mining is a popular technique used to find associations between attributes in a dat...
With the development of wearable and mobile computing technology, more and more people start using s...
AbstractThe primary thrust of this work is to demonstrate the applicability of association rule mini...
The primary thrust of this work is to demonstrate the applicability of association rule mining in pu...
Identifying suitable physical activities is crucial for personal health management. However, a big c...
Measurements of physical activity taken in a valid and reliable way are essential in characterizing ...
Abstract Purpose: A data mining approach was applied to establish a multilevel hierarchy predicting...
The physical fitness of college students can be evaluated scientifically based on the data of physic...
It is currently difficult to have a global state of the art vision of certain scientific topics. In ...
In the past decades, activity recognition has aroused a great interest for the research groups major...
Low levels of Physical Activity (PA) and sedentarism are associated with the onset of different path...
Adult physical activity is important for prevention of chronic diseases and to minimize health issue...
This chapter presents the benefits of exercise benefits. Stronger exercise habit is beneficial becau...
Data mining is an important feature for making association rules among the greatest scope of item se...
The inter-relationship between physical activity, sedentary behaviour and sleep (collectively defin...
Association rule mining is a popular technique used to find associations between attributes in a dat...
With the development of wearable and mobile computing technology, more and more people start using s...