The FIFA World Cup^(TM) is the most profitable worldwide event.The FIFA publishes global statistics of this competition which provide global data about the players and teams during the competition.This work is focused...The FIFA World Cup^(TM) is the most profitable worldwide event.The FIFA publishes global statistics of this competition which provide global data about the players and teams during the competition.This work is focused on the extraction of behavioural patterns for both,players and teams strategies,through the automated analysis of this dataset.The knowledge and models extracted in this work could be applied to soccer leagues or even it could be oriented to sport betting.However,the main contribution is related to the study on several automatic knowledge extraction techniques,such as clustering methods,and how these techniques can be used to obtain useful behavioural models from a global statistics dataset.The information provided by the clustering algorithms shows similar properties which have been combined to define the models,making the human interpretation of these statistics easier.Finally,the most successful teams strategies have been analysed and compared.展开更多
Regional medical unions are practical approaches to deal with the cases that patients crowd in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai,in China.However,electronic medical data analysi...Regional medical unions are practical approaches to deal with the cases that patients crowd in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai,in China.However,electronic medical data analysis exists challenges when patients are referred among different hospitals in the regional medical unions during treatment procedures.In smart cities,demands for medical services provided by smart devises,complicate the environment of medical data analysis.In order to tackle the above problems,in this paper,a healthcare data analysis system for regional medical union is designed to support doctors from different hospitals to assess health conditions of patients in an overall data view.Behaviour patterns are mined from physiological index values.Tags are generated from social networks data to find the hot topics concerned by people living in common region.Experiments are given to illustrate the feasibility of the system in supporting healthcare data analysis.展开更多
基金partly supported by:Spanish Ministry of Science and Education under project TIN201019872the grant BES-2011-049875 from the same MinistryJobssy.com company under project FUAM076913
文摘The FIFA World Cup^(TM) is the most profitable worldwide event.The FIFA publishes global statistics of this competition which provide global data about the players and teams during the competition.This work is focused on the extraction of behavioural patterns for both,players and teams strategies,through the automated analysis of this dataset.The knowledge and models extracted in this work could be applied to soccer leagues or even it could be oriented to sport betting.However,the main contribution is related to the study on several automatic knowledge extraction techniques,such as clustering methods,and how these techniques can be used to obtain useful behavioural models from a global statistics dataset.The information provided by the clustering algorithms shows similar properties which have been combined to define the models,making the human interpretation of these statistics easier.Finally,the most successful teams strategies have been analysed and compared.
基金This research is supported by supported by Shanghai Jiao Tong University funding project[16JCCS08]the Shanghai Institute of Precision Measurement Project under grant number[SAST2017-128].
文摘Regional medical unions are practical approaches to deal with the cases that patients crowd in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai,in China.However,electronic medical data analysis exists challenges when patients are referred among different hospitals in the regional medical unions during treatment procedures.In smart cities,demands for medical services provided by smart devises,complicate the environment of medical data analysis.In order to tackle the above problems,in this paper,a healthcare data analysis system for regional medical union is designed to support doctors from different hospitals to assess health conditions of patients in an overall data view.Behaviour patterns are mined from physiological index values.Tags are generated from social networks data to find the hot topics concerned by people living in common region.Experiments are given to illustrate the feasibility of the system in supporting healthcare data analysis.
