A Mining Technique Using N-grams and Motion Transcripts for Body Sensor Network Data Repository. Vitali Loseu , Hassan Ghasemzadeh , Latifur R. Khan , and ...
The problem can be resolved with a larger BSN repository, where similarities in portions of the data can link multiple data sets together, thus providing user ...
To address this issue, we propose a data mining approach for large BSN data repositories. We represent sensor readings with motion transcripts that maintain ...
We represent sensor readings with a sequence of characters, called motion transcripts. Transcripts reduce complexity of the data significantly while maintaining ...
Mining Techniques for Body Sensor Network Data Repository
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To address this issue, this chapter reviews existing mining techniques and describes a data-mining approach inspired by techniques in the areas of text and ...
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We represent sensor readings with a sequence of characters, called motion transcripts. Transcripts reduce complexity of the data significantly while maintaining ...
A data mining approach inspired by the experience in the areas of text and natural language processing is proposed, which reduces the overwhelmingly large ...
The approach is based on representing sensor readings with a sequence of characters called motion transcripts. Transcripts reduce complexity of the data ...
N-grams are used to capture characteristic transitions in physiological signals. Feature selection via information gain is then used to reduce the large number ...