TalhaMahboob

BS Software Engineering

MS Computer Science

Domain Analysis of Information Extraction Techniques

In this research, we extant a short outline of Information Extraction, which is also a natural language processing domain that tries to find required information in structured, semi structured and unstructured Data. We draw a taxonomy of information extraction tasks and techniques. The other important thing is that we also extract learning methods like supervised, semi supervised and unsupervised learning and which methods are used in these types of learning. Our domain analysis consists on social media, Bi

Cervical Cancer Prediction through Different Screening Methods using Data Mining

Cervical cancer remains an important reason of deaths worldwide because effective access to cervical screening methods is a big challenge. Data mining techniques including decision tree algorithms are used in biomedical research for predictive analysis. The imbalanced dataset was obtained from the dataset archive belongs to the University of California, Irvine. Synthetic Minority Oversampling Technique (SMOTE) has been used to balance the dataset in which the number of instances has increased. The dataset c

A model for early prediction of diabetes

Diabetes is a common, chronic disease. Prediction of diabetes at an early stage can lead to improved treatment. Data mining techniques are widely used for prediction of disease at an early stage. In this research paper, diabetes is predicted using significant attributes, and the relationship of the differing attributes is also characterized. Various tools are used to determine significant attribute selection, and for clustering, prediction, and association rule mining for diabetes. Significant attributes se