원문정보
초록
영어
Data Mining is the process of extract information from a data set and transform it into an understandable structure. Classification is a data mining task, used to classify data among different predefined clusters. The paper proposes a new classifier utilizing MLP approach by maintaining the clusters based on similar feature. The improved MLP approach can handle noisy data, reduce complexity and increases the performance. This technique has been applied for automating medical diagnosis. This paper analyzes the lung CT-scan images for identifying and classifying them among the various lung diseases (i.e., bronchitis, emphysema, pleural effusion or normal) by emphasizing on the problematic area.
목차
1. Introduction
2. Material and Method
3. Proposed Approach
3.1 Preprocessing
3.2 Feature Extraction
3.3 Feature Selection
3.4 Classification
4. Implementation & Results
5. Conclusion
References