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We applied data mining techniques to the study of acupuncture as a treatment for juvenile myopia, with the aim of identifying hidden patterns in the data. Fifty patients with juvenile myopia were selected and treated with acupuncture, and data mining was used to analyze the effects of treatment and the influence of behavioral variables. Clustering analysis was used to divide myopia patients into...
Events extraction is an important part of information extraction, at present, most events extraction aim at extracting events themselves but do not consider whether the events have already happened. This paper focuses on the events named willing events which have a leady proposed and made sure to happen but not yet happened currently. There exist quite a number of willing events in many areas, and...
The fast evolution of hardware and the internet made large volumes of data more accessible. This data is composed of heterogeneous data types such as text, numbers, multimedia, and others. Non-overlapping research communities work on processing homogeneous data types. Nevertheless, from the user perspective, these heterogeneous data types should behave and be accessed in a similar fashion. Processing...
With the market competition becoming increasingly fierce, metaphor is of vital significance to design as a ubiquitous way of emotion expression. Focused on the use of metaphorical symbol in modern furniture design from the perspective of product semantics, the paper analyzed concept, classification as well as features of metaphor design. By introducing metaphorical symbols, furniture design can not...
Existing work has been focused on minimizing the number of relay nodes to maintain the connectivity of a sensor network. However, we believe replacing batteries for nodes or redeploying the network is either labor-intensive or impossible, so it is more desirable to reduce energy consumption even if we need to use slightly more nodes. The question we are trying to answer is: is it possible to greatly...
Data integration is the problem of combining data residing at different sources, and providing the user with a unified view of these data. One of the critical issues of data integration is the detection of similar entities based on the content. This complexity is due to three factors: the data type of the databases are heterogeneous, the schema of databases are unfamiliar and heterogenous as well,...
With the growing computer networks, accessible data is becoming increasingly distributed. Understanding and integrating remote and unfamiliar data sources are important data management issues. In this paper, we propose to utilize self-organizing maps (SOM) clustering to aid with the visualization of similar columns, and integration of relational database tables and attributes based on the content...
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