A successful text categorization experiment divides a textual collection into pre-defined classes. A true representative for each class is generally obtained during training of the categorizer. In this paper, we report on our experiments on training and categorization of optically recognized documents. In particular, we will address the issues regarding the effects OCR errors may have on traini...

Human healthcare is one of society's most important issues. To ensure that patients receive the care they require as quickly possible, it searches for best diagnosis and thorough disease. For health-related component searching, other disciplines are required, such statistics computer science, because this recognition frequently complex[3]. These must go beyond traditional ones in order to follo...