A Study on Different Feature Level Learning and Prediction Approaches

Mining is about to extract the important knowledge over the available dataset. There are number of functionalities available to extract such information over the dataset. One of such approach is classification approach. Dataset Learning is about to categorize the available dataset so that effective knowledge extraction will be done. Learning approaches perform the feature level analysis over the dataset and reduced the processing dataset size so that the performance of the overall mining process will be reduced. In this paper, some of the effective learning approaches are discussed such as Decision Tree, KNN and Bayes Network. The paper has also presented the learning model of disease prediction for agricultural data also.