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In recent years, mining with imbalanced data sets receives more and more attentions in both theoretical and practical aspects. This paper introduces the importance of imbalanced data sets and their broad application domains in data mining, and then summarizes the evaluation metrics and the existing methods to evaluate and solve the imbalance problem.(More)
Due to name abbreviations, identical names, name misspellings, and pseudonyms inpublications or bibliographies (citations), an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, web search, database integration, and may cause improper attribution to authors. This(More)
An author may have multiple names and multiple authors may share the same name simply due to name abbreviations, identical names, or name misspellings in publications or bibliographies <sup>1</sup>. This can produce name ambiguity which can affect the performance of document retrieval, web search, and database integration, and may cause improper attribution(More)
Automatic metadata generation provides scalability and usability for digital libraries and their collections. Machine learning methods offer robust and adaptable automatic metadata extraction. We describe a Support Vector Machine classification-based method for metadata extraction from header part of research papers and show that it outperforms other(More)
Because of name variations, an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, web search, database integration, and may cause improper attribution to authors. This paper presents a hierarchical naive Bayes mixture model, an unsupervised learning approach, for(More)
Clinical investigations present much evidence that the glucocorticoid receptor (GR) antagonist mifepristone leads to a rapid amelioration of depression. The molecular mechanisms of mifepristone involved in the treatment of depression are not fully understood. Depression is associated with hippocampal plasticity, for which increased excitatory amino acid(More)
BACKGROUND Despite the potential link between mitral annular calcification (MAC) and atherosclerosis, there is limited data regarding the prevalence of MAC in African Americans and its relationship with coronary heart disease (CHD)events in this high-risk population. METHODS The study population included 2409 African American participants of the(More)
Renal fibrosis is a significant threat to public health globally. Diverse primary aetiologies eventually result in chronic kidney disease (CKD) and immune cells influence this process. The roles of monocytes/macrophages, T cells, and mast cells have been carefully examined, whilst only a few studies have focused on the effect of B cells. We investigated(More)
STUDY DESIGN A three-dimensional study of the thoracic pedicle (T1-T12) morphometry in Chinese patients with different body height, using reformatted computed tomography (CT). OBJECTIVE To quantify the dimensions of the thoracic pedicles and to analyze the relationship between body height and thoracic pedicle parameters. SUMMARY OF BACKGROUND DATA The(More)
OBJECTIVE To evaluate the clinical application of different surgical approaches for endoscopic thyroidectomy and provide more rational treatment criteria. METHODS Collect all randomized controlled trials, multi-center studies, clinical controlled trials, clinical trials and other comparative studies of endoscopic thyroidectomy with a large sample size in(More)