Medical histories provide a rich resource for diagnoses and treatment. Similarly, consumers’ blog postings on health-related topics offer unique data for medical researchers, pr...
Abstract— Most existing work in aggregation and querying for sensor network data has focused on the use of standard statistical operations (average, median, etc) to reduce the qu...
—Real-world data mining deals with noisy information sources where data collection inaccuracy, device limitations, data transmission and discretization errors, or man-made pertur...
This paper investigates a new approach to formulate performance indices of biometric system using information theoretic models. The performance indices proposed here (unlike conven...
Abstract. Weighting models use lexical statistics, such as term frequencies, to derive term weights, which are used to estimate the relevance of a document to a query. Apart from t...