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In this paper, we describe a method for mining both frequent episodes and rare episodes in multiple data streams. The main issues include episodes mining and data streams relationship processing. Therefore, a mining algorithm together with two dedicated handling mechanisms is presented. We propose the concept of alternative support for discovering frequent and rare episodes, and define the semantic...
Hemiparesis is the most common impairment after stroke, the leading cause of adult disability in the United States. The initial severity of hemiparesis had been the strongest predictor of neuromotor functional recovery level. However, the intervention response of stroke survivors does not always correlate with their initial level of impairment. This implies the existence of other factors that may...
Hemiparesis is the most common impairment after stroke, and the initial severity of hemiparesis had been the strongest predictor of neuromotor functional recovery level. However, the intervention response of stroke survivors does not always correlate with their initial level of impairment, which implies the existence of other factors that may significantly affect stroke survivors' recovery process...
The rapid development of Web 2.0 bring the flourish of web reviews. Web reviews are usually released in form of structured records. As the important information source for many popular applications(e.g. monitoring and analysis of public opinion), review records need to be extracted accurately from web pages. To the best of our knowledge, little work in literatures has systemically investigated this...
While the event extraction and event based natural language processing system have been extensively studied, very little of the work has been done on the annotation of Chinese event. Annotating Chinese event in the text is a complex task. This paper focuses on the taggability of Chinese event, the pre-requisite of annotating Chinese event. A comprehensive questionnaire for tagging Chinese event is...
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